Varun Jampani

Orcid: 0000-0002-1508-6498

According to our database1, Varun Jampani authored at least 113 papers between 2012 and 2024.

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Bibliography

2024
WordRobe: Text-Guided Generation of Textured 3D Garments.
CoRR, 2024

SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion.
CoRR, 2024

TripoSR: Fast 3D Object Reconstruction from a Single Image.
CoRR, 2024

SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild.
CoRR, 2024

Dress-Me-Up: A Dataset & Method for Self-Supervised 3D Garment Retargeting.
CoRR, 2024

2023
ZeroShape: Regression-based Zero-shot Shape Reconstruction.
CoRR, 2023

DiffusionLight: Light Probes for Free by Painting a Chrome Ball.
CoRR, 2023

HOI-Diff: Text-Driven Synthesis of 3D Human-Object Interactions using Diffusion Models.
CoRR, 2023

NeRFiller: Completing Scenes via Generative 3D Inpainting.
CoRR, 2023

Alchemist: Parametric Control of Material Properties with Diffusion Models.
CoRR, 2023

UniGS: Unified Representation for Image Generation and Segmentation.
CoRR, 2023

One-Shot Open Affordance Learning with Foundation Models.
CoRR, 2023

Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence.
CoRR, 2023

Exploring Attribute Variations in Style-based GANs using Diffusion Models.
CoRR, 2023

Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.
CoRR, 2023

ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs.
CoRR, 2023

OmniControl: Control Any Joint at Any Time for Human Motion Generation.
CoRR, 2023

HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models.
CoRR, 2023

Background Prompting for Improved Object Depth.
CoRR, 2023

Discriminative Diffusion Models as Few-shot Vision and Language Learners.
CoRR, 2023

ContactArt: Learning 3D Interaction Priors for Category-level Articulated Object and Hand Poses Estimation.
CoRR, 2023

Debiasing Vision-Language Models via Biased Prompts.
CoRR, 2023

A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

LayoutGPT: Compositional Visual Planning and Generation with Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

DreamBooth3D: Subject-Driven Text-to-3D Generation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ASIC: Aligning Sparse in-the-wild Image Collections.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery from Sparse Image Ensemble.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NoisyTwins: Class-Consistent and Diverse Image Generation Through StyleGANs.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

ShapeClipper: Scalable 3D Shape Learning from Single-View Images via Geometric and CLIP-Based Consistency.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MetaCLUE: Towards Comprehensive Visual Metaphors Research.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

LOCATE: Localize and Transfer Object Parts for Weakly Supervised Affordance Grounding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

KAFA: Rethinking Image Ad Understanding with Knowledge-Augmented Feature Adaptation of Vision-Language Models.
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

2022
An Extendable, Efficient and Effective Transformer-based Object Detector.
CoRR, 2022

LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D Part Discovery.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Polynomial Neural Fields for Subband Decomposition and Manipulation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Subsidiary Prototype Alignment for Universal Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Balancing Discriminability and Transferability for Source-Free Domain Adaptation.
Proceedings of the International Conference on Machine Learning, 2022

ViDT: An Efficient and Effective Fully Transformer-based Object Detector.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Multi-Frame Video Prediction with Learnable Motion Encodings.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

CPL: Counterfactual Prompt Learning for Vision and Language Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Improving GANs for Long-Tailed Data Through Group Spectral Regularization.
Proceedings of the Computer Vision - ECCV 2022, 2022

Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Hierarchical Semantic Regularization of Latent Spaces in StyleGANs.
Proceedings of the Computer Vision - ECCV 2022, 2022

Planes vs. Chairs: Category-Guided 3D Shape Learning Without any 3D Cues.
Proceedings of the Computer Vision - ECCV 2022, 2022

Learning ABCs: Approximate Bijective Correspondence for isolating factors of variation with weak supervision.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SOMSI: Spherical Novel View Synthesis with Soft Occlusion Multi-Sphere Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
There and back again: Cycle consistency across sets for isolating factors of variation.
CoRR, 2021

ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Non-local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Robust Visual Reasoning via Language Guided Neural Module Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold.
Proceedings of the 38th International Conference on Machine Learning, 2021

Discovering 3D Parts from Image Collections.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

NeRD: Neural Reflectance Decomposition from Image Collections.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Decoupled Dynamic Filter Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

LASR: Learning Articulated Shape Reconstruction From a Monocular Video.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

AutoFlow: Learning a Better Training Set for Optical Flow.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Adaptive Prototype Learning and Allocation for Few-Shot Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Exploiting Scene Depth for Object Detection with Multimodal Transformers.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Improving Deep Stereo Network Generalization with Geometric Priors.
CoRR, 2020

Generative View Synthesis: From Single-view Semantics to Novel-view Images.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

DeepGMR: Learning Latent Gaussian Mixture Models for Registration.
Proceedings of the Computer Vision - ECCV 2020, 2020

Self-supervised Single-View 3D Reconstruction via Semantic Consistency.
Proceedings of the Computer Vision - ECCV 2020, 2020

Appearance Consensus Driven Self-supervised Human Mesh Recovery.
Proceedings of the Computer Vision - ECCV 2020, 2020

Self-Supervised Viewpoint Learning From Image Collections.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

From Image Collections to Point Clouds With Self-Supervised Shape and Pose Networks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Two-Shot Spatially-Varying BRDF and Shape Estimation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Intrinsic Autoencoders for Joint Deferred Neural Rendering and Intrinsic Image Decomposition.
Proceedings of the 8th International Conference on 3D Vision, 2020

2019
Boosting segmentation with weak supervision from image-to-image translation.
CoRR, 2019

Gated-SCNN: Gated Shape CNNs for Semantic Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Learning Propagation for Arbitrarily-Structured Data.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

SENSE: A Shared Encoder Network for Scene-Flow Estimation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Pixel-Adaptive Convolutional Neural Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

DIFFER: Moving Beyond 3D Reconstruction with Differentiable Feature Rendering.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

SCOPS: Self-Supervised Co-Part Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Efficient 2D and 3D Facade Segmentation Using Auto-Context.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Adversarial Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation.
CoRR, 2018

Switchable Temporal Propagation Network.
Proceedings of the Computer Vision - ECCV 2018, 2018

Superpixel Sampling Networks.
Proceedings of the Computer Vision - ECCV 2018, 2018

On the Integration of Optical Flow and Action Recognition.
Proceedings of the Pattern Recognition - 40th German Conference, 2018

Learning Superpixels With Segmentation-Aware Affinity Loss.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Training Deep Networks With Synthetic Data: Bridging the Reality Gap by Domain Randomization.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

SPLATNet: Sparse Lattice Networks for Point Cloud Processing.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Learning Inference Models for Computer Vision.
PhD thesis, 2017

Learning Inference Models for Computer Vision.
CoRR, 2017

Semantic Video CNNs Through Representation Warping.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Video Propagation Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Superpixel Convolutional Networks Using Bilateral Inceptions.
Proceedings of the Computer Vision - ECCV 2016, 2016

Optical Flow with Semantic Segmentation and Localized Layers.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
The informed sampler: A discriminative approach to Bayesian inference in generative computer vision models.
Comput. Vis. Image Underst., 2015

Sparse Convolutional Networks using the Permutohedral Lattice.
CoRR, 2015

Permutohedral Lattice CNNs.
Proceedings of the 3rd International Conference on Learning Representations, 2015

Superpixel Convolutional Networks using Bilateral Inceptions.
CoRR, 2015

Efficient Facade Segmentation Using Auto-context.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Consensus Message Passing for Layered Graphical Models.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2012
Assessment of computational visual attention models on medical images.
Proceedings of the Eighth Indian Conference on Vision, Graphics and Image Processing, 2012


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