Assessment of computational visual attention models on medical images. - Varun Jampani; Ujjwal; Jayanthi Sivaswamy; Vivek Vaidya 001 (ICVGIP, 2012)

Consensus Message Passing for Layered Graphical Models. - Varun Jampani; S. M. Ali Eslami; Daniel Tarlow; Pushmeet Kohli; John M. Winn (AISTATS, 2015)

Efficient Facade Segmentation Using Auto-context. - Varun Jampani; Raghudeep Gadde; Peter V. Gehler (WACV, 2015)

Superpixel Convolutional Networks using Bilateral Inceptions. - Raghudeep Gadde; Varun Jampani; Martin Kiefel; Peter V. Gehler (CoRR, 2015)

Permutohedral Lattice CNNs. - Martin Kiefel; Varun Jampani; Peter V. Gehler (ICLR (Workshop), 2015)

Sparse Convolutional Networks using the Permutohedral Lattice. - Martin Kiefel; Varun Jampani; Peter V. Gehler (CoRR, 2015)

The informed sampler: A discriminative approach to Bayesian inference in generative computer vision models. - Varun Jampani; Sebastian Nowozin; Matthew Loper; Peter V. Gehler (Comput. Vis. Image Underst., 2015)

Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks. - Varun Jampani; Martin Kiefel; Peter V. Gehler (CVPR, 2016)

Optical Flow with Semantic Segmentation and Localized Layers. - Laura Sevilla-Lara; Deqing Sun; Varun Jampani; Michael J. Black (CVPR, 2016)

Superpixel Convolutional Networks Using Bilateral Inceptions. - Raghudeep Gadde; Varun Jampani; Martin Kiefel; Daniel Kappler; Peter V. Gehler (ECCV (1), 2016)

Video Propagation Networks. - Varun Jampani; Raghudeep Gadde; Peter V. Gehler (CVPR, 2017)

Semantic Video CNNs Through Representation Warping. - Raghudeep Gadde; Varun Jampani; Peter V. Gehler (ICCV, 2017)

Learning Inference Models for Computer Vision. - Varun Jampani (CoRR, 2017)

Learning Inference Models for Computer Vision. - Varun Jampani (2017)

Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation. - Huaizu Jiang; Deqing Sun; Varun Jampani; Ming-Hsuan Yang 001; Erik G. Learned-Miller; Jan Kautz (CVPR, 2018)

SPLATNet: Sparse Lattice Networks for Point Cloud Processing. - Hang Su 005; Varun Jampani; Deqing Sun; Subhransu Maji; Evangelos Kalogerakis; Ming-Hsuan Yang 001; Jan Kautz (CVPR, 2018)

Training Deep Networks With Synthetic Data: Bridging the Reality Gap by Domain Randomization. - Jonathan Tremblay; Aayush Prakash; David Acuna; Mark Brophy; Varun Jampani; Cem Anil; Thang To; Eric Cameracci; Shaad Boochoon; Stan Birchfield (CVPR Workshops, 2018)

Learning Superpixels With Segmentation-Aware Affinity Loss. - Wei-Chih Tu; Ming-Yu Liu 001; Varun Jampani; Deqing Sun; Shao-Yi Chien; Ming-Hsuan Yang 001; Jan Kautz (CVPR, 2018)

On the Integration of Optical Flow and Action Recognition. - Laura Sevilla-Lara; Yiyi Liao; Fatma Güney; Varun Jampani; Andreas Geiger 001; Michael J. Black (GCPR, 2018)

Superpixel Sampling Networks. - Varun Jampani; Deqing Sun; Ming-Yu Liu 001; Ming-Hsuan Yang 001; Jan Kautz (ECCV (7), 2018)

Switchable Temporal Propagation Network. - Sifei Liu; Guangyu Zhong; Shalini De Mello; Jinwei Gu; Varun Jampani; Ming-Hsuan Yang 001; Jan Kautz (ECCV (7), 2018)

Adversarial Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation. - Anurag Ranjan; Varun Jampani; Kihwan Kim; Deqing Sun; Jonas Wulff; Michael J. Black (CoRR, 2018)

Efficient 2D and 3D Facade Segmentation Using Auto-Context. - Raghudeep Gadde; Varun Jampani; Renaud Marlet; Peter V. Gehler (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

SCOPS: Self-Supervised Co-Part Segmentation. - Wei-Chih Hung; Varun Jampani; Sifei Liu; Pavlo Molchanov 001; Ming-Hsuan Yang 001; Jan Kautz (CVPR, 2019)

DIFFER: Moving Beyond 3D Reconstruction with Differentiable Feature Rendering. - Navaneet K. L.; Priyanka Mandikal; Varun Jampani; R. Venkatesh Babu (CVPR Workshops, 2019)

Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation. - Anurag Ranjan; Varun Jampani; Lukas Balles; Kihwan Kim; Deqing Sun; Jonas Wulff; Michael J. Black (CVPR, 2019)

Pixel-Adaptive Convolutional Neural Networks. - Hang Su 005; Varun Jampani; Deqing Sun; Orazio Gallo; Erik G. Learned-Miller; Jan Kautz (CVPR, 2019)

SENSE: A Shared Encoder Network for Scene-Flow Estimation. - Huaizu Jiang; Deqing Sun; Varun Jampani; Zhaoyang Lv; Erik G. Learned-Miller; Jan Kautz (ICCV, 2019)

Learning Propagation for Arbitrarily-Structured Data. - Sifei Liu; Xueting Li; Varun Jampani; Shalini De Mello; Jan Kautz (ICCV, 2019)

Gated-SCNN: Gated Shape CNNs for Semantic Segmentation. - Towaki Takikawa; David Acuna; Varun Jampani; Sanja Fidler (ICCV, 2019)

Boosting segmentation with weak supervision from image-to-image translation. - Eugene Vorontsov; Pavlo Molchanov 001; Wonmin Byeon; Shalini De Mello; Varun Jampani; Ming-Yu Liu 001; Samuel Kadoury; Jan Kautz (CoRR, 2019)

Intrinsic Autoencoders for Joint Deferred Neural Rendering and Intrinsic Image Decomposition. - Hassan Abu Alhaija; Siva Karthik Mustikovela; Justus Thies; Varun Jampani; Matthias Nießner; Andreas Geiger 001; Carsten Rother (3DV, 2020)

Two-Shot Spatially-Varying BRDF and Shape Estimation. - Mark Boss; Varun Jampani; Kihwan Kim; Hendrik P. A. Lensch; Jan Kautz (CVPR, 2020)

Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis. - Jogendra Nath Kundu; Siddharth Seth; Varun Jampani; Mugalodi Rakesh; R. Venkatesh Babu; Anirban Chakraborty 001 (CVPR, 2020)

From Image Collections to Point Clouds With Self-Supervised Shape and Pose Networks. - Navaneet K. L.; Ansu Mathew; Shashank Kashyap; Wei-Chih Hung; Varun Jampani; R. Venkatesh Babu (CVPR, 2020)

Self-Supervised Viewpoint Learning From Image Collections. - Siva Karthik Mustikovela; Varun Jampani; Shalini De Mello; Sifei Liu; Umar Iqbal 001; Carsten Rother; Jan Kautz (CVPR, 2020)

Appearance Consensus Driven Self-supervised Human Mesh Recovery. - Jogendra Nath Kundu; Mugalodi Rakesh; Varun Jampani; Rahul Mysore Venkatesh; R. Venkatesh Babu (ECCV (1), 2020)

Self-supervised Single-View 3D Reconstruction via Semantic Consistency. - Xueting Li; Sifei Liu; Kihwan Kim; Shalini De Mello; Varun Jampani; Ming-Hsuan Yang 001; Jan Kautz (ECCV (14), 2020)

DeepGMR: Learning Latent Gaussian Mixture Models for Registration. - Wentao Yuan; Benjamin Eckart; Kihwan Kim; Varun Jampani; Dieter Fox; Jan Kautz (ECCV (5), 2020)

Generative View Synthesis: From Single-view Semantics to Novel-view Images. - Tewodros Amberbir Habtegebrial; Varun Jampani; Orazio Gallo; Didier Stricker (NeurIPS, 2020)

Improving Deep Stereo Network Generalization with Geometric Priors. - Jialiang Wang 001; Varun Jampani; Deqing Sun; Charles T. Loop; Stan Birchfield; Jan Kautz (CoRR, 2020)

Exploiting Scene Depth for Object Detection with Multimodal Transformers. - Hwanjun Song; Eunyoung Kim; Varun Jampani; Deqing Sun; Jae-Gil Lee 001; Ming-Hsuan Yang 001 (BMVC, 2021)

Adaptive Prototype Learning and Allocation for Few-Shot Segmentation. - Gen Li 008; Varun Jampani; Laura Sevilla-Lara; Deqing Sun; Jonghyun Kim; Joongkyu Kim (CVPR, 2021)

AutoFlow: Learning a Better Training Set for Optical Flow. - Deqing Sun; Daniel Vlasic; Charles Herrmann; Varun Jampani; Michael Krainin; Huiwen Chang; Ramin Zabih; William T. Freeman; Ce Liu 001 (CVPR, 2021)

LASR: Learning Articulated Shape Reconstruction From a Monocular Video. - Gengshan Yang; Deqing Sun; Varun Jampani; Daniel Vlasic; Forrester Cole; Huiwen Chang; Deva Ramanan; William T. Freeman; Ce Liu 001 (CVPR, 2021)

Decoupled Dynamic Filter Networks. - Jingkai Zhou; Varun Jampani; Zhixiong Pi; Qiong Liu 001; Ming-Hsuan Yang 001 (CVPR, 2021)

NeRD: Neural Reflectance Decomposition from Image Collections. - Mark Boss; Raphael Braun; Varun Jampani; Jonathan T. Barron; Ce Liu 001; Hendrik P. A. Lensch (ICCV, 2021)

SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting. - Varun Jampani; Huiwen Chang; Kyle Sargent; Abhishek Kar; Richard Tucker 001; Michael Krainin; Dominik Kaeser; William T. Freeman; David Salesin; Brian Curless; Ce Liu 001 (ICCV, 2021)

Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation. - Jogendra Nath Kundu; Akshay R. Kulkarni; Amit Singh; Varun Jampani; R. Venkatesh Babu (ICCV, 2021)

Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image. - Andrew Liu 001; Ameesh Makadia; Richard Tucker 001; Noah Snavely; Varun Jampani; Angjoo Kanazawa (ICCV, 2021)

Discovering 3D Parts from Image Collections. - Chun-Han Yao; Wei-Chih Hung; Varun Jampani; Ming-Hsuan Yang 001 (ICCV, 2021)

Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold. - Kieran A. Murphy; Carlos Esteves; Varun Jampani; Srikumar Ramalingam; Ameesh Makadia (ICML, 2021)

Robust Visual Reasoning via Language Guided Neural Module Networks. - Arjun R. Akula; Varun Jampani; Soravit Changpinyo; Song-Chun Zhu (NeurIPS, 2021)

Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition. - Mark Boss; Varun Jampani; Raphael Braun; Ce Liu 001; Jonathan T. Barron; Hendrik P. A. Lensch (NeurIPS, 2021)

Non-local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation. - Jogendra Nath Kundu; Siddharth Seth; Anirudh Jamkhandi; Pradyumna YM; Varun Jampani; Anirban Chakraborty 001; Venkatesh Babu R. (NeurIPS, 2021)

Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery. - Mugalodi Rakesh; Jogendra Nath Kundu; Varun Jampani; Venkatesh Babu R. (NeurIPS, 2021)

ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction. - Gengshan Yang; Deqing Sun; Varun Jampani; Daniel Vlasic; Forrester Cole; Ce Liu 001; Deva Ramanan (NeurIPS, 2021)

There and back again: Cycle consistency across sets for isolating factors of variation. - Kieran A. Murphy; Varun Jampani; Srikumar Ramalingam; Ameesh Makadia (CoRR, 2021)

Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation. - Jogendra Nath Kundu; Akshay R. Kulkarni; Suvaansh Bhambri; Varun Jampani; Venkatesh Babu Radhakrishnan (AAAI, 2022)

SOMSI: Spherical Novel View Synthesis with Soft Occlusion Multi-Sphere Images. - Tewodros Habtegebrial; Christiano Couto Gava; Marcel Rogge; Didier Stricker; Varun Jampani (CVPR, 2022)

Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation. - Jogendra Nath Kundu; Siddharth Seth; Pradyumna YM; Varun Jampani; Anirban Chakraborty 001; R. Venkatesh Babu (CVPR, 2022)

Learning ABCs: Approximate Bijective Correspondence for isolating factors of variation with weak supervision. - Kieran A. Murphy; Varun Jampani; Srikumar Ramalingam; Ameesh Makadia (CVPR, 2022)

Planes vs. Chairs: Category-Guided 3D Shape Learning Without any 3D Cues. - Zixuan Huang 001; Stefan Stojanov; Anh Thai; Varun Jampani; James M. Rehg (ECCV (1), 2022)

Hierarchical Semantic Regularization of Latent Spaces in StyleGANs. - Tejan Karmali; Rishubh Parihar; Susmit Agrawal; Harsh Rangwani; Varun Jampani; Maneesh Kumar Singh 001; R. Venkatesh Babu (ECCV (15), 2022)

Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation. - Jogendra Nath Kundu; Suvaansh Bhambri; Akshay R. Kulkarni; Hiran Sarkar; Varun Jampani; R. Venkatesh Babu (ECCV (30), 2022)

Improving GANs for Long-Tailed Data Through Group Spectral Regularization. - Harsh Rangwani; Naman Jaswani; Tejan Karmali; Varun Jampani; R. Venkatesh Babu (ECCV (15), 2022)

CPL: Counterfactual Prompt Learning for Vision and Language Models. - Xuehai He; Diji Yang; Weixi Feng; Tsu-Jui Fu; Arjun R. Akula; Varun Jampani; Pradyumna Narayana; Sugato Basu; William Yang Wang; Xin Wang 061 (EMNLP, 2022)

Multi-Frame Video Prediction with Learnable Motion Encodings. - Rakesh Jasti; Varun Jampani; Deqing Sun; Ming-Hsuan Yang 001 (ICIP, 2022)

ViDT: An Efficient and Effective Fully Transformer-based Object Detector. - Hwanjun Song; Deqing Sun; Sanghyuk Chun; Varun Jampani; Dongyoon Han; Byeongho Heo; Wonjae Kim; Ming-Hsuan Yang 001 (ICLR, 2022)

Balancing Discriminability and Transferability for Source-Free Domain Adaptation. - Jogendra Nath Kundu; Akshay R. Kulkarni; Suvaansh Bhambri; Deepesh Mehta; Shreyas Anand Kulkarni; Varun Jampani; Venkatesh Babu Radhakrishnan (ICML, 2022)

SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections. - Mark Boss; Andreas Engelhardt; Abhishek Kar; Yuanzhen Li; Deqing Sun; Jonathan T. Barron; Hendrik P. A. Lensch; Varun Jampani (NeurIPS, 2022)

Subsidiary Prototype Alignment for Universal Domain Adaptation. - Jogendra Nath Kundu; Suvaansh Bhambri; Akshay R. Kulkarni; Hiran Sarkar; Varun Jampani; Venkatesh Babu R. (NeurIPS, 2022)

Polynomial Neural Fields for Subband Decomposition and Manipulation. - Guandao Yang; Sagie Benaim; Varun Jampani; Kyle Genova; Jonathan T. Barron; Thomas A. Funkhouser; Bharath Hariharan; Serge J. Belongie (NeurIPS, 2022)

LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D Part Discovery. - Chun-Han Yao; Wei-Chih Hung; Yuanzhen Li; Michael Rubinstein; Ming-Hsuan Yang 001; Varun Jampani (NeurIPS, 2022)

LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity. - Tejan Karmali; Abhinav Atrishi; Sai Sree Harsha; Susmit Agrawal; Varun Jampani; R. Venkatesh Babu (WACV, 2022)

An Extendable, Efficient and Effective Transformer-based Object Detector. - Hwanjun Song; Deqing Sun; Sanghyuk Chun; Varun Jampani; Dongyoon Han; Byeongho Heo; Wonjae Kim; Ming-Hsuan Yang 001 (CoRR, 2022)

KAFA: Rethinking Image Ad Understanding with Knowledge-Augmented Feature Adaptation of Vision-Language Models. - Zhiwei Jia; Pradyumna Narayana; Arjun R. Akula; Garima Pruthi; Hao Su 001; Sugato Basu; Varun Jampani (ACL (industry), 2023)

LOCATE: Localize and Transfer Object Parts for Weakly Supervised Affordance Grounding. - Gen Li 008; Varun Jampani; Deqing Sun; Laura Sevilla-Lara (CVPR, 2023)

MetaCLUE: Towards Comprehensive Visual Metaphors Research. - Arjun R. Akula; Brendan Driscoll; Pradyumna Narayana; Soravit Changpinyo; Zhiwei Jia; Suyash Damle; Garima Pruthi; Sugato Basu; Leonidas J. Guibas; William T. Freeman; Yuanzhen Li; Varun Jampani (CVPR, 2023)

ShapeClipper: Scalable 3D Shape Learning from Single-View Images via Geometric and CLIP-Based Consistency. - Zixuan Huang 001; Varun Jampani; Anh Thai; Yuanzhen Li; Stefan Stojanov; James M. Rehg (CVPR, 2023)

NoisyTwins: Class-Consistent and Diverse Image Generation Through StyleGANs. - Harsh Rangwani; Lavish Bansal; Kartik Sharma; Tejan Karmali; Varun Jampani; R. Venkatesh Babu (CVPR, 2023)

DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation. - Nataniel Ruiz; Yuanzhen Li; Varun Jampani; Yael Pritch; Michael Rubinstein; Kfir Aberman (CVPR, 2023)

Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery from Sparse Image Ensemble. - Chun-Han Yao; Wei-Chih Hung; Yuanzhen Li; Michael Rubinstein; Ming-Hsuan Yang 001; Varun Jampani (CVPR, 2023)

ASIC: Aligning Sparse in-the-wild Image Collections. - Kamal Gupta 002; Varun Jampani; Carlos Esteves; Abhinav Shrivastava; Ameesh Makadia; Noah Snavely; Abhishek Kar (ICCV, 2023)

LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs. - Zezhou Cheng; Carlos Esteves; Varun Jampani; Abhishek Kar; Subhransu Maji; Ameesh Makadia (ICCV, 2023)

DreamBooth3D: Subject-Driven Text-to-3D Generation. - Amit Raj; Srinivas Kaza; Ben Poole; Michael Niemeyer; Nataniel Ruiz; Ben Mildenhall; Shiran Zada; Kfir Aberman; Michael Rubinstein; Jonathan T. Barron; Yuanzhen Li; Varun Jampani (ICCV, 2023)

Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis. - Weixi Feng; Xuehai He; Tsu-Jui Fu; Varun Jampani; Arjun R. Akula; Pradyumna Narayana; Sugato Basu; Xin Eric Wang; William Yang Wang (ICLR, 2023)

LayoutGPT: Compositional Visual Planning and Generation with Large Language Models. - Weixi Feng; Wanrong Zhu; Tsu-Jui Fu; Varun Jampani; Arjun R. Akula; Xuehai He; Sugato Basu; Xin Eric Wang; William Yang Wang (NeurIPS, 2023)

NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations. - Varun Jampani; Kevis-Kokitsi Maninis; Andreas Engelhardt; Arjun Karpur; Karen Truong; Kyle Sargent; Stefan Popov; André Araújo 001; Ricardo Martin-Brualla; Kaushal Patel; Daniel Vlasic; Vittorio Ferrari; et al. (NeurIPS, 2023)

ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections. - Chun-Han Yao; Amit Raj; Wei-Chih Hung; Michael Rubinstein; Yuanzhen Li; Ming-Hsuan Yang 001; Varun Jampani (NeurIPS, 2023)

A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence. - Junyi Zhang 004; Charles Herrmann; Junhwa Hur; Luisa Polania Cabrera; Varun Jampani; Deqing Sun; Ming-Hsuan Yang 001 (NeurIPS, 2023)

Debiasing Vision-Language Models via Biased Prompts. - Ching-Yao Chuang; Varun Jampani; Yuanzhen Li; Antonio Torralba 001; Stefanie Jegelka (CoRR, 2023)

Discriminative Diffusion Models as Few-shot Vision and Language Learners. - Xuehai He; Weixi Feng; Tsu-Jui Fu; Varun Jampani; Arjun R. Akula; Pradyumna Narayana; Sugato Basu; William Yang Wang; Xin Eric Wang (CoRR, 2023)

Background Prompting for Improved Object Depth. - Manel Baradad; Yuanzhen Li; Forrester Cole; Michael Rubinstein; Antonio Torralba 001; William T. Freeman; Varun Jampani (CoRR, 2023)

Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets. - Andreas Blattmann; Tim Dockhorn; Sumith Kulal; Daniel Mendelevitch; Maciej Kilian; Dominik Lorenz; Yam Levi; Zion English; Vikram Voleti; Adam Letts; Varun Jampani; Robin Rombach (CoRR, 2023)

Exploring Attribute Variations in Style-based GANs using Diffusion Models. - Rishubh Parihar; Prasanna Balaji; Raghav Magazine; Sarthak Vora; Tejan Karmali; Varun Jampani; R. Venkatesh Babu (CoRR, 2023)

ContactArt: Learning 3D Interaction Priors for Category-level Articulated Object and Hand Poses Estimation. - Zehao Zhu; Jiashun Wang; Yuzhe Qin; Deqing Sun; Varun Jampani; Xiaolong Wang 004 (3DV, 2024)

Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence. - Junyi Zhang 004; Charles Herrmann; Junhwa Hur; Eric Chen; Varun Jampani; Deqing Sun; Ming-Hsuan Yang 001 (CVPR, 2024)

One-Shot Open Affordance Learning with Foundation Models. - Gen Li 008; Deqing Sun; Laura Sevilla-Lara; Varun Jampani (CVPR, 2024)

Probing the 3D Awareness of Visual Foundation Models. - Mohamed El Banani; Amit Raj; Kevis-Kokitsi Maninis; Abhishek Kar; Yuanzhen Li; Michael Rubinstein; Deqing Sun; Leonidas J. Guibas; Justin Johnson 001; Varun Jampani (CVPR, 2024)

SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild. - Andreas Engelhardt; Amit Raj; Mark Boss; Yunzhi Zhang; Abhishek Kar; Yuanzhen Li; Deqing Sun; Ricardo Martin-Brualla; Jonathan T. Barron; Hendrik P. A. Lensch; Varun Jampani (CVPR, 2024)

MVD-Fusion: Single-view 3D via Depth-consistent Multi-view Generation. - Hanzhe Hu; Zhizhuo Zhou; Varun Jampani; Shubham Tulsiani (CVPR, 2024)

ZeroShape: Regression-Based Zero-Shot Shape Reconstruction. - Zixuan Huang 001; Stefan Stojanov; Anh Thai; Varun Jampani; James M. Rehg (CVPR, 2024)

DiffusionLight: Light Probes for Free by Painting a Chrome Ball. - Pakkapon Phongthawee; Worameth Chinchuthakun; Nontaphat Sinsunthithet; Varun Jampani; Amit Raj; Pramook Khungurn; Supasorn Suwajanakorn (CVPR, 2024)

UniGS: Unified Representation for Image Generation and Segmentation. - Lu Qi; Lehan Yang; Weidong Guo; Yu Xu; Bo Du; Varun Jampani; Ming-Hsuan Yang 001 (CVPR, 2024)

HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models. - Nataniel Ruiz; Yuanzhen Li; Varun Jampani; Wei Wei; Tingbo Hou; Yael Pritch; Neal Wadhwa; Michael Rubinstein; Kfir Aberman (CVPR, 2024)

Alchemist: Parametric Control of Material Properties with Diffusion Models. - Prafull Sharma; Varun Jampani; Yuanzhen Li; Xuhui Jia; Dmitry Lagun; Frédo Durand; Bill Freeman; Mark J. Matthews (CVPR, 2024)

NeRFiller: Completing Scenes via Generative 3D Inpainting. - Ethan Weber; Aleksander Holynski; Varun Jampani; Saurabh Saxena; Noah Snavely; Abhishek Kar; Angjoo Kanazawa (CVPR, 2024)

ZeST: Zero-Shot Material Transfer from a Single Image. - Ta Ying Cheng; Prafull Sharma; Andrew Markham; Niki Trigoni; Varun Jampani (ECCV (1), 2024)

ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs. - Viraj Shah; Nataniel Ruiz; Forrester Cole; Erika Lu; Svetlana Lazebnik; Yuanzhen Li; Varun Jampani (ECCV (1), 2024)

WordRobe: Text-Guided Generation of Textured 3D Garments. - Astitva Srivastava; Pranav Manu; Amit Raj; Varun Jampani; Avinash Sharma 001 (ECCV (1), 2024)

SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image Using Latent Video Diffusion. - Vikram Voleti; Chun-Han Yao; Mark Boss; Adam Letts; David Pankratz; Dmitry Tochilkin; Christian Laforte; Robin Rombach; Varun Jampani (ECCV (1), 2024)

3D Congealing: 3D-Aware Image Alignment in the Wild. - Yunzhi Zhang; Zizhang Li; Amit Raj; Andreas Engelhardt; Yuanzhen Li; Tingbo Hou; Jiajun Wu 001; Varun Jampani (ECCV (1), 2024)

CONDENSE: Consistent 2D/3D Pre-training for Dense and Sparse Features from Multi-View Images. - Xiaoshuai Zhang; Zhicheng Wang; Howard Zhou; Soham Ghosh; Danushen Gnanapragasam; Varun Jampani; Hao Su 001; Leonidas J. Guibas (ECCV (54), 2024)

SMooDi: Stylized Motion Diffusion Model. - Lei Zhong; Yiming Xie; Varun Jampani; Deqing Sun; Huaizu Jiang (ECCV (1), 2024)

PRISM: A New Lens for Improved Color Understanding. - Arjun R. Akula; Garima Pruthi; Inderjit S. Dhillon; Pradyumna Narayana; Sugato Basu; Varun Jampani (EMNLP (Industry Track), 2024)

OmniControl: Control Any Joint at Any Time for Human Motion Generation. - Yiming Xie; Varun Jampani; Lei Zhong; Deqing Sun; Huaizu Jiang (ICLR, 2024)

Learning Action and Reasoning-Centric Image Editing from Videos and Simulation. - Benno Krojer; Dheeraj Vattikonda; Luis Lara; Varun Jampani; Eva Portelance; Chris Pal; Siva Reddy (NeurIPS, 2024)

Dress-Me-Up: A Dataset & Method for Self-Supervised 3D Garment Retargeting. - Shanthika Naik; Kunwar Singh; Astitva Srivastava; Dhawal Sirikonda; Amit Raj; Varun Jampani; Avinash Sharma 001 (CoRR, 2024)

TripoSR: Fast 3D Object Reconstruction from a Single Image. - Dmitry Tochilkin; David Pankratz; Zexiang Liu; Zixuan Huang 001; Adam Letts; Yangguang Li 001; Ding Liang; Christian Laforte; Varun Jampani; Yan-Pei Cao (CoRR, 2024)

Shaping Realities: Enhancing 3D Generative AI with Fabrication Constraints. - Faraz Faruqi; Yingtao Tian; Vrushank Phadnis; Varun Jampani; Stefanie Mueller 001 (CoRR, 2024)

Computational Tradeoffs in Image Synthesis: Diffusion, Masked-Token, and Next-Token Prediction. - Maciej Kilian; Varun Jampani; Luke Zettlemoyer (CoRR, 2024)

ICE-G: Image Conditional Editing of 3D Gaussian Splats. - Vishnu Jaganathan; Hannah Hanyun Huang; Muhammad Zubair Irshad; Varun Jampani; Amit Raj; Zsolt Kira (CoRR, 2024)

SyncNoise: Geometrically Consistent Noise Prediction for Text-based 3D Scene Editing. - Ruihuang Li; Liyi Chen 002; Zhengqiang Zhang; Varun Jampani; Vishal M. Patel; Lei Zhang 006 (CoRR, 2024)

HouseCrafter: Lifting Floorplans to 3D Scenes with 2D Diffusion Model. - Hieu T. Nguyen; Yiwen Chen; Vikram Voleti; Varun Jampani; Huaizu Jiang (CoRR, 2024)

Learning Action and Reasoning-Centric Image Editing from Videos and Simulations. - Benno Krojer; Dheeraj Vattikonda; Luis Lara; Varun Jampani; Eva Portelance; Christopher Pal; Siva Reddy (CoRR, 2024)

Not all Views are Created Equal: Analyzing Viewpoint Instabilities in Vision Foundation Models. - Mateusz Michalkiewicz; Sheena Bai; Mahsa Baktashmotlagh; Varun Jampani; Guha Balakrishnan (CoRR, 2024)

Discffusion: Discriminative Diffusion Models as Few-shot Vision and Language Learners. - Xuehai He; Weixi Feng; Tsu-Jui Fu; Varun Jampani; Arjun R. Akula; Pradyumna Narayana; Sugato Basu; William Yang Wang; Xin Eric Wang (Trans. Mach. Learn. Res., 2024)

SyncNoise: Geometrically Consistent Noise Prediction for Instruction-based 3D Editing. - Ruihuang Li; Liyi Chen 002; Zhengqiang Zhang; Varun Jampani; Vishal M. Patel; Lei Zhang 006 (AAAI, 2025)

SF3D: Stable Fast 3D Mesh Reconstruction with UV-unwrapping and Illumination Disentanglement. - Mark Boss; Zixuan Huang; Aaryaman Vasishta; Varun Jampani (CVPR, 2025)

MARBLE: Material Recomposition and Blending in CLIP-Space. - Ta Ying Cheng; Prafull Sharma; Mark Boss; Varun Jampani (CVPR, 2025)

CompGS: Unleashing 2D Compositionality for Compositional Text-to-3D via Dynamically Optimizing 3D Gaussians. - Chongjian Ge; Chenfeng Xu; Yuanfeng Ji; Chensheng Peng; Masayoshi Tomizuka; Ping Luo 002; Mingyu Ding; Varun Jampani; Wei Zhan (CVPR, 2025)

SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images. - Zixuan Huang 001; Mark Boss; Aaryaman Vasishta; James M. Rehg; Varun Jampani (CVPR, 2025)

HOI-Diff: Text-Driven Synthesis of 3D Human-Object Interactions using Diffusion Models. - Xiaogang Peng; Yiming Xie; Zizhao Wu; Varun Jampani; Deqing Sun; Huaizu Jiang (CVPR Workshops, 2025)

Unified Dense Prediction of Video Diffusion. - Lehan Yang; Lu Qi; Xiangtai Li; Sheng Li 001; Varun Jampani; Ming-Hsuan Yang 001 (CVPR, 2025)

MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion. - Junyi Zhang 004; Charles Herrmann; Junhwa Hur; Varun Jampani; Trevor Darrell; Forrester Cole; Deqing Sun; Ming-Hsuan Yang 001 (ICLR, 2025)

SV4D: Dynamic 3D Content Generation with Multi-Frame and Multi-View Consistency. - Yiming Xie; Chun-Han Yao; Vikram Voleti; Huaizu Jiang; Varun Jampani (ICLR, 2025)

Attribute Diffusion: Diffusion Driven Diverse Attribute Editing. - Rishubh Parihar; Prasanna Balaji; Raghav Magazine; Sarthak Vora; Varun Jampani; R. Venkatesh Babu (WACV, 2025)

DecompDreamer: Advancing Structured 3D Asset Generation with Multi-Object Decomposition and Gaussian Splatting. - Utkarsh Nath; Rajeev Goel; Rahul Khurana; Kyle Min 001; Mark Ollila; Pavan K. Turaga; Varun Jampani; Tejaswi Gowda (CoRR, 2025)

Stable Virtual Camera: Generative View Synthesis with Diffusion Models. - Jensen Zhou; Hang Gao; Vikram Voleti; Aaryaman Vasishta; Chun-Han Yao; Mark Boss; Philip Torr 001; Christian Rupprecht 001; Varun Jampani (CoRR, 2025)

SV4D 2.0: Enhancing Spatio-Temporal Consistency in Multi-View Video Diffusion for High-Quality 4D Generation. - Chun-Han Yao; Yiming Xie; Vikram Voleti; Huaizu Jiang; Varun Jampani (CoRR, 2025)

LightHeadEd: Relightable & Editable Head Avatars from a Smartphone. - Pranav Manu; Astitva Srivastava; Amit Raj; Varun Jampani; Avinash Sharma 001; P. J. Narayanan (CoRR, 2025)

FaceCraft4D: Animated 3D Facial Avatar Generation from a Single Image. - Fei Yin; Mallikarjun B. R; Chun-Han Yao; Rafal Mantiuk; Varun Jampani (CoRR, 2025)

GIQ: Benchmarking 3D Geometric Reasoning of Vision Foundation Models with Simulated and Real Polyhedra. - Mateusz Michalkiewicz; Anekha Sokhal; Tadeusz Michalkiewicz; Piotr Pawlikowski; Mahsa Baktashmotlagh; Varun Jampani; Guha Balakrishnan (CoRR, 2025)

PhysRig: Differentiable Physics-Based Skinning and Rigging Framework for Realistic Articulated Object Modeling. - Hao Zhang; Haolan Xu; Chun Feng; Varun Jampani; Narendra Ahuja (CoRR, 2025)

DiffusionLight-Turbo: Accelerated Light Probes for Free via Single-Pass Chrome Ball Inpainting. - Worameth Chinchuthakun; Pakkapon Phongthawee; Amit Raj; Varun Jampani; Pramook Khungurn; Supasorn Suwajanakorn (CoRR, 2025)

Guest Editorial: Special Issue on Large-Scale Generative Models for Content Creation and Manipulation. - Shengfeng He; Lin Gao 004; Hongbo Fu 001; Varun Jampani; Lu Jiang 004; Ming-Hsuan Yang 001 (Int. J. Comput. Vis., 2025)