Deformation-Driven Shape Correspondence. - Hao Zhang 002; Alla Sheffer; Daniel Cohen-Or; Quan Zhou; Oliver van Kaick; Andrea Tagliasacchi (Comput. Graph. Forum, 2008)

Searching for Concurrent Design Patterns in Video Games. - Micah J. Best; Alexandra Fedorova; Ryan Dickie; Andrea Tagliasacchi; Alex Couture-Beil; Craig Mustard; Shane Mottishaw; Aron Brown; Zhi Feng Huang; Xiaoyuan Xu; Nasser Ghazali; Andrew Brownsword (Euro-Par, 2009)

Curve skeleton extraction from incomplete point cloud. - Andrea Tagliasacchi; Hao Zhang 002; Daniel Cohen-Or (ACM Trans. Graph., 2009)

Partial intrinsic reflectional symmetry of 3D shapes. - Kai Xu 004; Hao Zhang 002; Andrea Tagliasacchi; Ligang Liu 001; Guo Li; Min Meng 001; Yueshan Xiong (ACM Trans. Graph., 2009)

Point Cloud Skeletons via Laplacian Based Contraction. - Junjie Cao 001; Andrea Tagliasacchi; Matt Olson; Hao Zhang 002; Zhixun Su (Shape Modeling International, 2010)

Consensus Skeleton for Non-rigid Space-time Registration. - Qian Zheng; Andrei Sharf; Andrea Tagliasacchi; Baoquan Chen; Hao Zhang 002; Alla Sheffer; Daniel Cohen-Or (Comput. Graph. Forum, 2010)

Prior Knowledge for Part Correspondence. - Oliver van Kaick; Andrea Tagliasacchi; Oana Sidi; Hao Zhang 002; Daniel Cohen-Or; Lior Wolf; Ghassan Hamarneh (Comput. Graph. Forum, 2011)

VASE: Volume-Aware Surface Evolution for Surface Reconstruction from Incomplete Point Clouds. - Andrea Tagliasacchi; Matt Olson; Hao Zhang 002; Ghassan Hamarneh; Daniel Cohen-Or (Comput. Graph. Forum, 2011)

Mean Curvature Skeletons. - Andrea Tagliasacchi; Ibraheem Alhashim; Matt Olson; Hao Zhang 002 (Comput. Graph. Forum, 2012)

Sparse Iterative Closest Point. - Sofien Bouaziz; Andrea Tagliasacchi; Mark Pauly (Comput. Graph. Forum, 2013)

Skeletal Representations and Applications - Andrea Tagliasacchi (CoRR, 2013)

State of the Art in Surface Reconstruction from Point Clouds. - Matthew Berger; Andrea Tagliasacchi; Lee M. Seversky; Pierre Alliez; Joshua A. Levine; Andrei Sharf; Cláudio T. Silva (Eurographics (State of the Art Reports), 2014)

Dynamic 2D/3D Registration. - Sofien Bouaziz; Andrea Tagliasacchi; Mark Pauly (Eurographics (Tutorials), 2014)

High-contrast computational caustic design. - Yuliy Schwartzburg; Romain Testuz; Andrea Tagliasacchi; Mark Pauly (ACM Trans. Graph., 2014)

Robust Articulated-ICP for Real-Time Hand Tracking. - Andrea Tagliasacchi; Matthias Schröder 002; Anastasia Tkach; Sofien Bouaziz; Mario Botsch; Mark Pauly (Comput. Graph. Forum, 2015)

Modern techniques and applications for real-time non-rigid registration. - Andrea Tagliasacchi; Sofien Bouaziz; Mark Pauly; Hao Li 015 (SIGGRAPH ASIA Courses, 2016)

3D Skeletons: A State-of-the-Art Report. - Andrea Tagliasacchi; Thomas Delamé; Michela Spagnuolo; Nina Amenta; Alexandru C. Telea (Comput. Graph. Forum, 2016)

Sphere-meshes for real-time hand modeling and tracking. - Anastasia Tkach; Mark Pauly; Andrea Tagliasacchi (ACM Trans. Graph., 2016)

Low-Dimensionality Calibration through Local Anisotropic Scaling for Robust Hand Model Personalization. - Edoardo Remelli; Anastasia Tkach; Andrea Tagliasacchi; Mark Pauly (ICCV, 2017)

A Survey of Surface Reconstruction from Point Clouds. - Matthew Berger; Andrea Tagliasacchi; Lee M. Seversky; Pierre Alliez; Gaël Guennebaud; Joshua A. Levine; Andrei Sharf; Cláudio T. Silva (Comput. Graph. Forum, 2017)

Espresso: Efficient Forward Propagation for BCNNs. - Fabrizio Pedersoli; George Tzanetakis; Andrea Tagliasacchi (CoRR, 2017)

HandSeg: A Dataset for Hand Segmentation from Depth Images. - Sri Raghu Malireddi; Franziska Mueller 001; Markus Oberweger; Abhishake Kumar Bojja; Vincent Lepetit; Christian Theobalt; Andrea Tagliasacchi (CoRR, 2017)

Sketch-based implicit blending. - Baptiste Angles; Marco Tarini; Brian Wyvill; Loïc Barthe; Andrea Tagliasacchi (ACM Trans. Graph., 2017)

Online generative model personalization for hand tracking. - Anastasia Tkach; Andrea Tagliasacchi; Edoardo Remelli; Mark Pauly; Andrew W. Fitzgibbon (ACM Trans. Graph., 2017)

TwinFusion: High Framerate Non-rigid Fusion through Fast Correspondence Tracking. - Kaiwen Guo; Jonathan Taylor 001; Sean Ryan Fanello; Andrea Tagliasacchi; Mingsong Dou; Philip Davidson; Adarsh Kowdle; Shahram Izadi (3DV, 2018)

Espresso: Efficient Forward Propagation for Binary Deep Neural Networks. - Fabrizio Pedersoli; George Tzanetakis; Andrea Tagliasacchi (ICLR (Poster), 2018)

MIST: Multiple Instance Spatial Transformer Network. - Baptiste Angles; Shahram Izadi; Andrea Tagliasacchi; Kwang Moo Yi (CoRR, 2018)

The need 4 speed in real-time dense visual tracking. - Adarsh Kowdle; Christoph Rhemann; Sean Ryan Fanello; Andrea Tagliasacchi; Jonathan Taylor 001; Philip Davidson; Mingsong Dou; Kaiwen Guo; Cem Keskin; Sameh Khamis; David Kim; Danhang Tang; et al. (ACM Trans. Graph., 2018)

Real-time compression and streaming of 4D performances. - Danhang Tang; Mingsong Dou; Peter Lincoln; Philip Davidson; Kaiwen Guo; Jonathan Taylor 001; Sean Ryan Fanello; Cem Keskin; Adarsh Kowdle; Sofien Bouaziz; Shahram Izadi; Andrea Tagliasacchi (ACM Trans. Graph., 2018)

HandSeg: An Automatically Labeled Dataset for Hand Segmentation from Depth Images. - Abhishake Kumar Bojja; Franziska Mueller 001; Sri Raghu Malireddi; Markus Oberweger; Vincent Lepetit; Christian Theobalt; Kwang Moo Yi; Andrea Tagliasacchi (CRV, 2019)

Volumetric Capture of Humans With a Single RGBD Camera via Semi-Parametric Learning. - Rohit Pandey; Anastasia Tkach; Shuoran Yang; Pavel Pidlypenskyi; Jonathan Taylor 001; Ricardo Martin-Brualla; Andrea Tagliasacchi; George Papandreou; Philip Davidson; Cem Keskin; Shahram Izadi; Sean Ryan Fanello (CVPR, 2019)

Linearized Multi-Sampling for Differentiable Image Transformation. - Wei Jiang 034; Weiwei Sun; Andrea Tagliasacchi; Eduard Trulls; Kwang Moo Yi (ICCV, 2019)

Incremental Labelling of Voronoi Vertices for Shape Reconstruction. - Jiju Peethambaran; Amal Dev Parakkat; Andrea Tagliasacchi; Ruisheng Wang 001; Ramanathan Muthuganapathy (Comput. Graph. Forum, 2019)

LSMAT Least Squares Medial Axis Transform. - Daniel Rebain; Baptiste Angles; Julien P. C. Valentin; Nicholas Vining; Jiju Peethambaran; Shahram Izadi; Andrea Tagliasacchi (Comput. Graph. Forum, 2019)

Attentive Context Normalization for Robust Permutation-Equivariant Learning. - Weiwei Sun; Wei Jiang 034; Eduard Trulls; Andrea Tagliasacchi; Kwang Moo Yi (CoRR, 2019)

CvxNets: Learnable Convex Decomposition. - Boyang Deng; Kyle Genova; Soroosh Yazdani; Sofien Bouaziz; Geoffrey E. Hinton; Andrea Tagliasacchi (CoRR, 2019)

NASA: Neural Articulated Shape Approximation. - Timothy Jeruzalski; Boyang Deng; Mohammad Norouzi 002; John P. Lewis; Geoffrey E. Hinton; Andrea Tagliasacchi (CoRR, 2019)

VoronoiNet: General Functional Approximators with Local Support. - Francis Williams; Daniele Panozzo; Kwang Moo Yi; Andrea Tagliasacchi (CoRR, 2019)

VIPER: Volume Invariant Position-based Elastic Rods. - Baptiste Angles; Daniel Rebain; Miles Macklin; Brian Wyvill; Loic Barthe; John P. Lewis; Javier von der Pahlen; Shahram Izadi; Julien P. C. Valentin; Sofien Bouaziz; Andrea Tagliasacchi (Proc. ACM Comput. Graph. Interact. Tech., 2019)

Multi-robot collaborative dense scene reconstruction. - Siyan Dong; Kai Xu 004; Qiang Zhou; Andrea Tagliasacchi; Shiqing Xin; Matthias Nießner; Baoquan Chen (ACM Trans. Graph., 2019)

Deep reflectance fields: high-quality facial reflectance field inference from color gradient illumination. - Abhimitra Meka; Christian Häne; Rohit Pandey; Michael Zollhöfer; Sean Ryan Fanello; Graham Fyffe; Adarsh Kowdle; Xueming Yu; Jay Busch; Jason Dourgarian; Peter Denny; Sofien Bouaziz; et al. (ACM Trans. Graph., 2019)

BSP-Net: Generating Compact Meshes via Binary Space Partitioning. - Zhiqin Chen; Andrea Tagliasacchi; Hao Zhang 002 (CVPR, 2020)

CvxNet: Learnable Convex Decomposition. - Boyang Deng; Kyle Genova; Soroosh Yazdani; Sofien Bouaziz; Geoffrey E. Hinton; Andrea Tagliasacchi (CVPR, 2020)

ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning. - Weiwei Sun; Wei Jiang 034; Eduard Trulls; Andrea Tagliasacchi; Kwang Moo Yi (CVPR, 2020)

Deep Implicit Volume Compression. - Danhang Tang; Saurabh Singh; Philip A. Chou; Christian Häne; Mingsong Dou; Sean Ryan Fanello; Jonathan Taylor 001; Philip Davidson; Onur G. Guleryuz; Yinda Zhang 001; Shahram Izadi; Andrea Tagliasacchi; et al. (CVPR, 2020)

VoronoiNet : General Functional Approximators with Local Support. - Francis Williams; Jérôme Parent-Lévesque; Derek Nowrouzezahrai; Daniele Panozzo; Kwang Moo Yi; Andrea Tagliasacchi (CVPR Workshops, 2020)

NASA Neural Articulated Shape Approximation. - Boyang Deng; John P. Lewis; Timothy Jeruzalski; Gerard Pons-Moll; Geoffrey E. Hinton; Mohammad Norouzi 002; Andrea Tagliasacchi (ECCV (7), 2020)

PIE-NET: Parametric Inference of Point Cloud Edges. - Xiaogang Wang 005; Yuelang Xu; Kai Xu 004; Andrea Tagliasacchi; Bin Zhou; Ali Mahdavi-Amiri; Hao Zhang 002 (NeurIPS, 2020)

CoSE: Compositional Stroke Embeddings. - Emre Aksan; Thomas Deselaers; Andrea Tagliasacchi; Otmar Hilliges (NeurIPS, 2020)

ShapeFlow: Learnable Deformation Flows Among 3D Shapes. - Chiyu Max Jiang; Jingwei Huang 001; Andrea Tagliasacchi; Leonidas J. Guibas (NeurIPS, 2020)

Foreword to the Special Section on Graphics Interface. - Andrea Tagliasacchi; Paul G. Kry (Comput. Graph., 2020)

NiLBS: Neural Inverse Linear Blend Skinning. - Timothy Jeruzalski; David I. W. Levin; Alec Jacobson; Paul Lalonde; Mohammad Norouzi 002; Andrea Tagliasacchi (CoRR, 2020)

ShapeFlow: Learnable Deformations Among 3D Shapes. - Chiyu Max Jiang; Jingwei Huang 001; Andrea Tagliasacchi; Leonidas J. Guibas (CoRR, 2020)

Voronoi Convolutional Neural Networks. - Soroosh Yazdani; Andrea Tagliasacchi (CoRR, 2020)

Canonical Capsules: Unsupervised Capsules in Canonical Pose. - Weiwei Sun; Andrea Tagliasacchi; Boyang Deng; Sara Sabour; Soroosh Yazdani; Geoffrey E. Hinton; Kwang Moo Yi (CoRR, 2020)

Human 3D keypoints via spatial uncertainty modeling. - Francis Williams; Or Litany; Avneesh Sud; Kevin Swersky; Andrea Tagliasacchi (CoRR, 2020)

MIST: Multiple Instance Spatial Transformer. - Baptiste Angles; Yuhe Jin; Simon Kornblith; Andrea Tagliasacchi; Kwang Moo Yi (CVPR, 2021)

DeRF: Decomposed Radiance Fields. - Daniel Rebain; Wei Jiang 034; Soroosh Yazdani; Ke Li 011; Kwang Moo Yi; Andrea Tagliasacchi (CVPR, 2021)

Vector Neurons: A General Framework for SO(3)-Equivariant Networks. - Congyue Deng; Or Litany; Yueqi Duan; Adrien Poulenard; Andrea Tagliasacchi; Leonidas J. Guibas (ICCV, 2021)

COTR: Correspondence Transformer for Matching Across Images. - Wei Jiang 034; Eduard Trulls; Jan Hosang; Andrea Tagliasacchi; Kwang Moo Yi (ICCV, 2021)

Unsupervised Part Representation by Flow Capsules. - Sara Sabour; Andrea Tagliasacchi; Soroosh Yazdani; Geoffrey E. Hinton; David J. Fleet (ICML, 2021)

Canonical Capsules: Self-Supervised Capsules in Canonical Pose. - Weiwei Sun; Andrea Tagliasacchi; Boyang Deng; Sara Sabour; Soroosh Yazdani; Geoffrey E. Hinton; Kwang Moo Yi (NeurIPS, 2021)

Deep Medial Fields. - Daniel Rebain; Ke Li 011; Vincent Sitzmann; Soroosh Yazdani; Kwang Moo Yi; Andrea Tagliasacchi (CoRR, 2021)

VaxNeRF: Revisiting the Classic for Voxel-Accelerated Neural Radiance Field. - Naruya Kondo; Yuya Ikeda; Andrea Tagliasacchi; Yutaka Matsuo; Yoichi Ochiai; Shixiang Shane Gu (CoRR, 2021)

Kubric: A scalable dataset generator. - Klaus Greff; Francois Belletti; Lucas Beyer; Carl Doersch; Yilun Du; Daniel Duckworth; David J. Fleet; Dan Gnanapragasam; Florian Golemo; Charles Herrmann; Thomas Kipf; Abhijit Kundu; et al. (CVPR, 2022)

CoNeRF: Controllable Neural Radiance Fields. - Kacper Kania; Kwang Moo Yi; Marek Kowalski; Tomasz Trzcinski; Andrea Tagliasacchi (CVPR, 2022)

Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation. - Abhijit Kundu; Kyle Genova; Xiaoqi Yin; Alireza Fathi; Caroline Pantofaru; Leonidas J. Guibas; Andrea Tagliasacchi; Frank Dellaert; Thomas A. Funkhouser (CVPR, 2022)

LOLNeRF: Learn from One Look. - Daniel Rebain; Mark J. Matthews; Kwang Moo Yi; Dmitry Lagun; Andrea Tagliasacchi (CVPR, 2022)

Urban Radiance Fields. - Konstantinos Rematas; Andrew Liu 001; Pratul P. Srinivasan; Jonathan T. Barron; Andrea Tagliasacchi; Thomas A. Funkhouser; Vittorio Ferrari (CVPR, 2022)

Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations. - Mehdi S. M. Sajjadi; Henning Meyer; Etienne Pot; Urs Bergmann; Klaus Greff; Noha Radwan; Suhani Vora; Mario Lucic; Daniel Duckworth; Alexey Dosovitskiy; Jakob Uszkoreit; Thomas A. Funkhouser; et al. (CVPR, 2022)

MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision. - Ben Usman; Andrea Tagliasacchi; Kate Saenko; Avneesh Sud (CVPR, 2022)

Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation. - Anthony Simeonov; Yilun Du; Andrea Tagliasacchi; Joshua B. Tenenbaum; Alberto Rodriguez 003; Pulkit Agrawal 001; Vincent Sitzmann (ICRA, 2022)

D^2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video. - Tianhao Wu 003; Fangcheng Zhong; Andrea Tagliasacchi; Forrester Cole; Cengiz Öztireli (NeurIPS, 2022)

D2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video. - Tianhao Wu 003; Fangcheng Zhong; Andrea Tagliasacchi; Forrester Cole; Cengiz Öztireli (CoRR, 2022)

Volume Rendering Digest (for NeRF). - Andrea Tagliasacchi; Ben Mildenhall (CoRR, 2022)

NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes. - Suhani Vora; Noha Radwan; Klaus Greff; Henning Meyer; Kyle Genova; Mehdi S. M. Sajjadi; Etienne Pot; Andrea Tagliasacchi; Daniel Duckworth (Trans. Mach. Learn. Res., 2022)

Neural dual contouring. - Zhiqin Chen; Andrea Tagliasacchi; Thomas A. Funkhouser; Hao Zhang 002 (ACM Trans. Graph., 2022)

MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures. - Zhiqin Chen; Thomas A. Funkhouser; Peter Hedman; Andrea Tagliasacchi (CVPR, 2023)

BlendFields: Few-Shot Example-Driven Facial Modeling. - Kacper Kania; Stephan J. Garbin; Andrea Tagliasacchi; Virginia Estellers; Kwang Moo Yi; Julien Valentin; Tomasz Trzcinski; Marek Kowalski (CVPR, 2023)

OpenScene: 3D Scene Understanding with Open Vocabularies. - Songyou Peng; Kyle Genova; Chiyu Max Jiang; Andrea Tagliasacchi; Marc Pollefeys; Thomas A. Funkhouser (CVPR, 2023)

RobustNeRF: Ignoring Distractors with Robust Losses. - Sara Sabour; Suhani Vora; Daniel Duckworth; Ivan Krasin; David J. Fleet; Andrea Tagliasacchi (CVPR, 2023)

SparsePose: Sparse-View Camera Pose Regression and Refinement. - Samarth Sinha; Jason Y. Zhang 001; Andrea Tagliasacchi; Igor Gilitschenski; David B. Lindell (CVPR, 2023)

NeuMap: Neural Coordinate Mapping by Auto-Transdecoder for Camera Localization. - Shitao Tang; Sicong Tang; Andrea Tagliasacchi; Ping Tan; Yasutaka Furukawa (CVPR, 2023)

CUF: Continuous Upsampling Filters. - Cristina Nader Vasconcelos; A. Cengiz Öztireli; Mark J. Matthews; Milad Hashemi; Kevin Swersky; Andrea Tagliasacchi (CVPR, 2023)

CC3D: Layout-Conditioned Generation of Compositional 3D Scenes. - Sherwin Bahmani; Jeong Joon Park; Despoina Paschalidou; Xingguang Yan; Gordon Wetzstein; Leonidas J. Guibas; Andrea Tagliasacchi (ICCV, 2023)

Novel View Synthesis with Diffusion Models. - Daniel Watson; William Chan; Ricardo Martin-Brualla; Jonathan Ho; Andrea Tagliasacchi; Mohammad Norouzi 002 (ICLR, 2023)

nerf2nerf: Pairwise Registration of Neural Radiance Fields. - Lily Goli; Daniel Rebain; Sara Sabour; Animesh Garg; Andrea Tagliasacchi (ICRA, 2023)

Unsupervised Semantic Correspondence Using Stable Diffusion. - Eric Hedlin; Gopal Sharma; Shweta Mahajan; Hossam Isack; Abhishek Kar; Andrea Tagliasacchi; Kwang Moo Yi (NeurIPS, 2023)

Neural Fields with Hard Constraints of Arbitrary Differential Order. - Fangcheng Zhong; Kyle Fogarty; Param Hanji; Tianhao Wu 003; Alejandro Sztrajman; Andrew Spielberg; Andrea Tagliasacchi; Petra Bosilj; Cengiz Öztireli (NeurIPS, 2023)

NeuralBF: Neural Bilateral Filtering for Top-down Instance Segmentation on Point Clouds. - Weiwei Sun; Daniel Rebain; Renjie Liao; Vladimir Tankovich; Soroosh Yazdani; Kwang Moo Yi; Andrea Tagliasacchi (WACV, 2023)

Densify Your Labels: Unsupervised Clustering with Bipartite Matching for Weakly Supervised Point Cloud Segmentation. - Shaobo Xia; Jun Yue; Kacper Kania; Leyuan Fang; Andrea Tagliasacchi; Kwang Moo Yi; Weiwei Sun (CoRR, 2023)

pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction. - David Charatan; Sizhe Li; Andrea Tagliasacchi; Vincent Sitzmann (CoRR, 2023)

Attention Beats Concatenation for Conditioning Neural Fields. - Daniel Rebain; Mark J. Matthews; Kwang Moo Yi; Gopal Sharma; Dmitry Lagun; Andrea Tagliasacchi (Trans. Mach. Learn. Res., 2023)

Learning Mesh Representations via Binary Space Partitioning Tree Networks. - Zhiqin Chen; Andrea Tagliasacchi; Hao Zhang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling. - Sherwin Bahmani; Ivan Skorokhodov; Victor Rong; Gordon Wetzstein; Leonidas J. Guibas; Peter Wonka; Sergey Tulyakov; Jeong Joon Park; Andrea Tagliasacchi; David B. Lindell (CVPR, 2024)

PixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction. - David Charatan; Sizhe Lester Li; Andrea Tagliasacchi; Vincent Sitzmann (CVPR, 2024)

Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields. - Lily Goli; Cody Reading; Silvia Sellán; Alec Jacobson; Andrea Tagliasacchi (CVPR, 2024)

Unsupervised Keypoints from Pretrained Diffusion Models. - Eric Hedlin; Gopal Sharma; Shweta Mahajan; Xingzhe He; Hossam Isack; Abhishek Kar; Helge Rhodin; Andrea Tagliasacchi; Kwang Moo Yi (CVPR, 2024)

Accelerating Neural Field Training via Soft Mining. - Shakiba Kheradmand; Daniel Rebain; Gopal Sharma; Hossam Isack; Abhishek Kar; Andrea Tagliasacchi; Kwang Moo Yi (CVPR, 2024)

Neural Fields as Distributions: Signal Processing Beyond Euclidean Space. - Daniel Rebain; Soroosh Yazdani; Kwang Moo Yi; Andrea Tagliasacchi (CVPR, 2024)

BANF: Band-Limited Neural Fields for Levels of Detail Reconstruction. - Akhmedkhan Ahan Shabanov; Shrisudhan Govindarajan; Cody Reading; Lily Goli; Daniel Rebain; Kwang Moo Yi; Andrea Tagliasacchi (CVPR, 2024)

TC4D: Trajectory-Conditioned Text-to-4D Generation. - Sherwin Bahmani; Xian Liu; Wang Yifan 001; Ivan Skorokhodov; Victor Rong; Ziwei Liu 002; Xihui Liu; Jeong Joon Park; Sergey Tulyakov; Gordon Wetzstein; Andrea Tagliasacchi; David B. Lindell (ECCV (46), 2024)

Lagrangian Hashing for Compressed Neural Field Representations. - Shrisudhan Govindarajan; Zeno Sambugaro; Akhmedkhan Shabanov; Towaki Takikawa; Daniel Rebain; Weiwei Sun; Nicola Conci; Kwang Moo Yi; Andrea Tagliasacchi (ECCV (27), 2024)

Volumetric Rendering with Baked Quadrature Fields. - Gopal Sharma; Daniel Rebain; Kwang Moo Yi; Andrea Tagliasacchi (ECCV (63), 2024)

PointNeRF++: A Multi-scale, Point-Based Neural Radiance Field. - Weiwei Sun; Eduard Trulls; Yang-Che Tseng; Sneha Sambandam; Gopal Sharma; Andrea Tagliasacchi; Kwang Moo Yi (ECCV (38), 2024)

3D Gaussian Splatting as Markov Chain Monte Carlo. - Shakiba Kheradmand; Daniel Rebain; Gopal Sharma; Weiwei Sun; Yang-Che Tseng; Hossam Isack; Abhishek Kar; Andrea Tagliasacchi; Kwang Moo Yi (NeurIPS, 2024)

3D Gaussian Splatting as Markov Chain Monte Carlo. - Shakiba Kheradmand; Daniel Rebain; Gopal Sharma; Weiwei Sun; Jeff Tseng; Hossam Isack; Abhishek Kar; Andrea Tagliasacchi; Kwang Moo Yi (CoRR, 2024)

Does Gaussian Splatting need SFM Initialization? - Yalda Foroutan; Daniel Rebain; Kwang Moo Yi; Andrea Tagliasacchi (CoRR, 2024)

Lagrangian Hashing for Compressed Neural Field Representations. - Shrisudhan Govindarajan; Zeno Sambugaro; Akhmedkhan Ahan Shabanov; Towaki Takikawa; Daniel Rebain; Weiwei Sun; Nicola Conci; Kwang Moo Yi; Andrea Tagliasacchi (CoRR, 2024)

RoMo: Robust Motion Segmentation Improves Structure from Motion. - Lily Goli; Sara Sabour; Mark J. Matthews; Marcus A. Brubaker; Dmitry Lagun; Alec Jacobson; David J. Fleet; Saurabh Saxena; Andrea Tagliasacchi (CoRR, 2024)

NoKSR: Kernel-Free Neural Surface Reconstruction via Point Cloud Serialization. - Zhen (Colin) Li; Weiwei Sun; Shrisudhan Govindarajan; Shaobo Xia; Daniel Rebain; Kwang Moo Yi; Andrea Tagliasacchi (3DV, 2025)

AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformers. - Sherwin Bahmani; Ivan Skorokhodov; Guocheng Qian; Aliaksandr Siarohin; Willi Menapace; Andrea Tagliasacchi; David B. Lindell; Sergey Tulyakov (CVPR, 2025)

PIAD: Pose and Illumination agnostic Anomaly Detection. - Kaichen Yang; Junjie Cao 001; Zeyu Bai; Zhixun Su; Andrea Tagliasacchi (CVPR, 2025)

SMITE: Segment Me In TimE. - Amirhossein Alimohammadi; Sauradip Nag; Saeid Asgari Taghanaki; Andrea Tagliasacchi; Ghassan Hamarneh; Ali Mahdavi-Amiri (ICLR, 2025)

VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control. - Sherwin Bahmani; Ivan Skorokhodov; Aliaksandr Siarohin; Willi Menapace; Guocheng Qian; Michael Vasilkovsky; Hsin-Ying Lee 001; Chaoyang Wang 001; Jiaxu Zou; Andrea Tagliasacchi; David B. Lindell; Sergey Tulyakov (ICLR, 2025)

Controlling Space and Time with Diffusion Models. - Daniel Watson; Saurabh Saxena; Lala Li; Andrea Tagliasacchi; David J. Fleet (ICLR, 2025)

Radiant Foam: Real-Time Differentiable Ray Tracing. - Shrisudhan Govindarajan; Daniel Rebain; Kwang Moo Yi; Andrea Tagliasacchi (CoRR, 2025)

StochasticSplats: Stochastic Rasterization for Sorting-Free 3D Gaussian Splatting. - Shakiba Kheradmand; Delio Vicini; George Kopanas; Dmitry Lagun; Kwang Moo Yi; Mark J. Matthews; Andrea Tagliasacchi (CoRR, 2025)

SpotLessSplats: Ignoring Distractors in 3D Gaussian Splatting. - Sara Sabour; Lily Goli; George Kopanas; Mark J. Matthews; Dmitry Lagun; Leonidas J. Guibas; Alec Jacobson; David J. Fleet; Andrea Tagliasacchi (ACM Trans. Graph., 2025)

Triangle Splatting for Real-Time Radiance Field Rendering. - Jan Held; Renaud Vandeghen; Adrien Deliège; Abdullah Hamdi; Silvio Giancola; Anthony Cioppa; Andrea Vedaldi; Bernard Ghanem; Andrea Tagliasacchi; Marc Van Droogenbroeck (CoRR, 2025)

Cora: Correspondence-aware image editing using few step diffusion. - Amirhossein Almohammadi; Aryan Mikaeili; Sauradip Nag; Negar Hassanpour; Andrea Tagliasacchi; Ali Mahdavi-Amiri (CoRR, 2025)