Tagliasacchi, Andrea

63 publications

ICLR 2026 Lyra: Generative 3D Scene Reconstruction via Video Diffusion Model Self-Distillation Sherwin Bahmani, Tianchang Shen, Jiawei Ren, Jiahui Huang, Yifeng Jiang, Haithem Turki, Andrea Tagliasacchi, David B. Lindell, Zan Gojcic, Sanja Fidler, Huan Ling, Jun Gao, Xuanchi Ren

NeurIPS 2025 3D Gaussian Flats: Hybrid 2D/3D Photometric Scene Reconstruction Maria Taktasheva, Lily Goli, Alessandro Fiorini, Zhen Li, Daniel Rebain, Andrea Tagliasacchi

CVPR 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

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

CVPR 2025 PIAD: Pose and Illumination Agnostic Anomaly Detection Kaichen Yang, Junjie Cao, Zeyu Bai, Zhixun Su, Andrea Tagliasacchi

ICCV 2025 Radiant Foam: Real-Time Differentiable Ray Tracing Shrisudhan Govindarajan, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi

ICCV 2025 RoMo: Robust Motion Segmentation Improves Structure from Motion Lily Goli, Sara Sabour, Mark Matthews, Marcus A. Brubaker, Dmitry Lagun, Alec Jacobson, David J. Fleet, Saurabh Saxena, Andrea Tagliasacchi

ICLR 2025 SMITE: Segment Me in TimE Amirhossein Alimohammadi, Sauradip Nag, Saeid Asgari, Andrea Tagliasacchi, Ghassan Hamarneh, Ali Mahdavi Amiri

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

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, Chaoyang Wang, Jiaxu Zou, Andrea Tagliasacchi, David B. Lindell, Sergey Tulyakov

NeurIPS 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

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

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

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

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

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

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

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

ECCV 2024 Volumetric Rendering with Baked Quadrature Fields Gopal Sharma, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi

CVPR 2024 pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction David Charatan, Sizhe Lester Li, Andrea Tagliasacchi, Vincent Sitzmann

TMLR 2023 Attention Beats Concatenation for Conditioning Neural Fields Daniel Rebain, Mark J. Matthews, Kwang Moo Yi, Gopal Sharma, Dmitry Lagun, 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 Trzciński, Marek Kowalski

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

CVPR 2023 CUF: Continuous Upsampling Filters Cristina N. Vasconcelos, Cengiz Oztireli, Mark Matthews, Milad Hashemi, Kevin Swersky, Andrea Tagliasacchi

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

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

NeurIPS 2023 Neural Fields with Hard Constraints of Arbitrary Differential Order Fangcheng Zhong, Kyle Fogarty, Param Hanji, Tianhao Wu, Alejandro Sztrajman, Andrew Spielberg, Andrea Tagliasacchi, Petra Bosilj, Cengiz Oztireli

WACV 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

ICLR 2023 Novel View Synthesis with Diffusion Models Daniel Watson, William Chan, Ricardo Martin Brualla, Jonathan Ho, Andrea Tagliasacchi, Mohammad Norouzi

CVPR 2023 OpenScene: 3D Scene Understanding with Open Vocabularies Songyou Peng, Kyle Genova, Chiyu “Max” Jiang, Andrea Tagliasacchi, Marc Pollefeys, Thomas 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, Andrea Tagliasacchi, Igor Gilitschenski, David B. Lindell

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

CVPR 2022 CoNeRF: Controllable Neural Radiance Fields Kacper Kania, Kwang Moo Yi, Marek Kowalski, Tomasz Trzciński, Andrea Tagliasacchi

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

CVPR 2022 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, Dmitry Lagun, Issam Laradji, Hsueh-Ti Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, Cengiz Oztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi

CVPR 2022 LOLNerf: Learn from One Look Daniel Rebain, Mark Matthews, Kwang Moo Yi, Dmitry Lagun, Andrea Tagliasacchi

CVPR 2022 MetaPose: Fast 3D Pose from Multiple Views Without 3D Supervision Ben Usman, Andrea Tagliasacchi, Kate Saenko, Avneesh Sud

TMLR 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

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 Funkhouser

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 Lučić, Daniel Duckworth, Alexey Dosovitskiy, Jakob Uszkoreit, Thomas Funkhouser, Andrea Tagliasacchi

CVPR 2022 Urban Radiance Fields Konstantinos Rematas, Andrew Liu, Pratul P. Srinivasan, Jonathan T. Barron, Andrea Tagliasacchi, Thomas Funkhouser, Vittorio Ferrari

ICCV 2021 COTR: Correspondence Transformer for Matching Across Images Wei Jiang, Eduard Trulls, Jan Hosang, Andrea Tagliasacchi, Kwang Moo Yi

NeurIPS 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

CVPR 2021 DeRF: Decomposed Radiance Fields Daniel Rebain, Wei Jiang, Soroosh Yazdani, Ke Li, Kwang Moo Yi, Andrea Tagliasacchi

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

ICML 2021 Unsupervised Part Representation by Flow Capsules Sara Sabour, Andrea Tagliasacchi, Soroosh Yazdani, Geoffrey Hinton, David J Fleet

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

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

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

NeurIPS 2020 CoSE: Compositional Stroke Embeddings Emre Aksan, Thomas Deselaers, Andrea Tagliasacchi, Otmar Hilliges

CVPR 2020 CvxNet: Learnable Convex Decomposition Boyang Deng, Kyle Genova, Soroosh Yazdani, Sofien Bouaziz, Geoffrey Hinton, Andrea Tagliasacchi

CVPR 2020 Deep Implicit Volume Compression Danhang Tang, Saurabh Singh, Philip A. Chou, Christian Hane, Mingsong Dou, Sean Fanello, Jonathan Taylor, Philip Davidson, Onur G. Guleryuz, Yinda Zhang, Shahram Izadi, Andrea Tagliasacchi, Sofien Bouaziz, Cem Keskin

ECCV 2020 NASA Neural Articulated Shape Approximation Boyang Deng, Jp Lewis, Timothy Jeruzalski, Gerard Pons-Moll, Geoffrey Hinton, Mohammad Norouzi, Andrea Tagliasacchi

NeurIPS 2020 PIE-NET: Parametric Inference of Point Cloud Edges Xiaogang Wang, Yuelang Xu, Kai Xu, Andrea Tagliasacchi, Bin Zhou, Ali Mahdavi-Amiri, Hao Zhang

NeurIPS 2020 ShapeFlow: Learnable Deformation Flows Among 3D Shapes Chiyu Jiang, Jingwei Huang, Andrea Tagliasacchi, Leonidas Guibas

CVPRW 2020 VoronoiNet : General Functional Approximators with Local Support Francis Williams, Jérôme Parent-Lévesque, Derek Nowrouzezahrai, Daniele Panozzo, Kwang Moo Yi, Andrea Tagliasacchi

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

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

ICLR 2018 Espresso: Efficient Forward Propagation for Binary Deep Neural Networks Fabrizio Pedersoli, George Tzanetakis, Andrea Tagliasacchi

ICCV 2017 Low-Dimensionality Calibration Through Local Anisotropic Scaling for Robust Hand Model Personalization Edoardo Remelli, Anastasia Tkach, Andrea Tagliasacchi, Mark Pauly