Novotny, David

36 publications

CVPR 2025 LIM: Large Interpolator Model for Dynamic Reconstruction Remy Sabathier, Niloy J. Mitra, David Novotny

CVPR 2025 PartGen: Part-Level 3D Generation and Reconstruction with Multi-View Diffusion Models Minghao Chen, Roman Shapovalov, Iro Laina, Tom Monnier, Jianyuan Wang, David Novotny, Andrea Vedaldi

CVPR 2025 Twinner: Shining Light on Digital Twins in a Few Snaps Jesus Zarzar, Tom Monnier, Roman Shapovalov, Andrea Vedaldi, David Novotny

CVPR 2025 UnCommon Objects in 3D Xingchen Liu, Piyush Tayal, Jianyuan Wang, Jesus Zarzar, Tom Monnier, Konstantinos Tertikas, Jiali Duan, Antoine Toisoul, Jason Y. Zhang, Natalia Neverova, Andrea Vedaldi, Roman Shapovalov, David Novotny

CVPR 2025 VGGT: Visual Geometry Grounded Transformer Jianyuan Wang, Minghao Chen, Nikita Karaev, Andrea Vedaldi, Christian Rupprecht, David Novotny

NeurIPS 2025 WildCAT3D: Appearance-Aware Multi-View Diffusion in the Wild Morris Alper, David Novotny, Filippos Kokkinos, Hadar Averbuch-Elor, Tom Monnier

ECCV 2024 Animal Avatars: Reconstructing Animatable 3D Animals from Casual Videos Remy Sabathier, David Novotny, Niloy Mitra

ECCV 2024 GOEmbed: Gradient Origin Embeddings for Representation Agnostic 3D Feature Learning Animesh Karnewar, Roman Shapovalov, Tom Monnier, Andrea Vedaldi, Niloy J. Mitra, David Novotny

NeurIPS 2024 Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR Materials Yawar Siddiqui, Tom Monnier, Filippos Kokkinos, Mahendra Kariya, Yanir Kleiman, Emilien Garreau, Oran Gafni, Natalia Neverova, Andrea Vedaldi, Roman Shapovalov, David Novotny

CVPR 2024 VGGSfM: Visual Geometry Grounded Deep Structure from Motion Jianyuan Wang, Nikita Karaev, Christian Rupprecht, David Novotny

CVPR 2024 ViewDiff: 3D-Consistent Image Generation with Text-to-Image Models Lukas Höllein, Aljaž Boži?, Norman Müller, David Novotny, Hung-Yu Tseng, Christian Richardt, Michael Zollhöfer, Matthias Nießner

CVPR 2023 Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories Samarth Sinha, Roman Shapovalov, Jeremy Reizenstein, Ignacio Rocco, Natalia Neverova, Andrea Vedaldi, David Novotny

CVPR 2023 HOLODIFFUSION: Training a 3D Diffusion Model Using 2D Images Animesh Karnewar, Andrea Vedaldi, David Novotny, Niloy J. Mitra

ICCV 2023 HoloFusion: Towards Photo-Realistic 3D Generative Modeling Animesh Karnewar, Niloy J. Mitra, Andrea Vedaldi, David Novotny

ICCV 2023 PoseDiffusion: Solving Pose Estimation via Diffusion-Aided Bundle Adjustment Jianyuan Wang, Christian Rupprecht, David Novotny

ICCV 2023 Replay: Multi-Modal Multi-View Acted Videos for Casual Holography Roman Shapovalov, Yanir Kleiman, Ignacio Rocco, David Novotny, Andrea Vedaldi, Changan Chen, Filippos Kokkinos, Ben Graham, Natalia Neverova

WACV 2023 Self-Supervised Correspondence Estimation via Multiview Registration Mohamed El Banani, Ignacio Rocco, David Novotny, Andrea Vedaldi, Natalia Neverova, Justin Johnson, Ben Graham

CVPRW 2022 Feature Query Networks: Neural Surface Description for Camera Pose Refinement Hugo Germain, Daniel DeTone, Geoffrey Pascoe, Tanner Schmidt, David Novotný, Richard A. Newcombe, Chris Sweeney, Richard Szeliski, Vasileios Balntas

CVPR 2022 KeyTr: Keypoint Transporter for 3D Reconstruction of Deformable Objects in Videos David Novotny, Ignacio Rocco, Samarth Sinha, Alexandre Carlier, Gael Kerchenbaum, Roman Shapovalov, Nikita Smetanin, Natalia Neverova, Benjamin Graham, Andrea Vedaldi

CVPRW 2022 Nerfels: Renderable Neural Codes for Improved Camera Pose Estimation Gil Avraham, Julian Straub, Tianwei Shen, Tsun-Yi Yang, Hugo Germain, Chris Sweeney, Vasileios Balntas, David Novotný, Daniel DeTone, Richard A. Newcombe

ICCV 2021 Common Objects in 3D: Large-Scale Learning and Evaluation of Real-Life 3D Category Reconstruction Jeremy Reizenstein, Roman Shapovalov, Philipp Henzler, Luca Sbordone, Patrick Labatut, David Novotny

ICCV 2021 DensePose 3D: Lifting Canonical Surface Maps of Articulated Objects to the Third Dimension Roman Shapovalov, David Novotny, Benjamin Graham, Patrick Labatut, Andrea Vedaldi

CVPR 2021 Discovering Relationships Between Object Categories via Universal Canonical Maps Natalia Neverova, Artsiom Sanakoyeu, Patrick Labatut, David Novotny, Andrea Vedaldi

CVPR 2021 NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go Marvin Eisenberger, David Novotny, Gael Kerchenbaum, Patrick Labatut, Natalia Neverova, Daniel Cremers, Andrea Vedaldi

CVPR 2021 Unsupervised Learning of 3D Object Categories from Videos in the Wild Philipp Henzler, Jeremy Reizenstein, Patrick Labatut, Roman Shapovalov, Tobias Ritschel, Andrea Vedaldi, David Novotny

NeurIPS 2020 3D Multi-Bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data Benjamin Biggs, David Novotny, Sebastien Ehrhardt, Hanbyul Joo, Ben Graham, Andrea Vedaldi

NeurIPS 2020 Canonical 3D Deformer Maps: Unifying Parametric and Non-Parametric Methods for Dense Weakly-Supervised Category Reconstruction David Novotny, Roman Shapovalov, Andrea Vedaldi

NeurIPS 2020 Continuous Surface Embeddings Natalia Neverova, David Novotny, Marc Szafraniec, Vasil Khalidov, Patrick Labatut, Andrea Vedaldi

NeurIPS 2019 Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels Natalia Neverova, David Novotny, Andrea Vedaldi

NeurIPS 2019 PerspectiveNet: A Scene-Consistent Image Generator for New View Synthesis in Real Indoor Environments David Novotny, Ben Graham, Jeremy Reizenstein

ECCV 2018 Semi-Convolutional Operators for Instance Segmentation David Novotny, Samuel Albanie, Diane Larlus, Andrea Vedaldi

CVPR 2017 AnchorNet: A Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching David Novotny, Diane Larlus, Andrea Vedaldi

ICCV 2017 Learning 3D Object Categories by Looking Around Them David Novotny, Diane Larlus, Andrea Vedaldi

ECCV 2016 Learning the Structure of Objects from Web Supervision David Novotný, Diane Larlus, Andrea Vedaldi

ECCVW 2016 Learning the Structure of Objects from Web Supervision David Novotný, Diane Larlus, Andrea Vedaldi

ICCV 2015 Cascaded Sparse Spatial Bins for Efficient and Effective Generic Object Detection David Novotny, Jiri Matas