David Novotn
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
30
Venues
5
Active years
2016–2025
Best venue rank
A*
Where they publish
Papers
30 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | PartGen: Part-level 3D Generation and Reconstruction with Multi-view Diffusion Models. | Minghao Chen, Roman Shapovalov, Iro Laina, Tom Monnier, Jianyuan Wang, David Novotn, Andrea Vedaldi |
| 2025 | CVPR | 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 Novotn |
| 2025 | CVPR | LIM: Large Interpolator Model for Dynamic Reconstruction. | Remy Sabathier, Niloy J. Mitra, David Novotn |
| 2025 | CVPR | VGGT: Visual Geometry Grounded Transformer. | Jianyuan Wang, Minghao Chen, Nikita Karaev, Andrea Vedaldi, Christian Rupprecht, David Novotn |
| 2025 | CVPR | Twinner: Shining Light on Digital Twins in a Few Snaps. | Jesus Zarzar, Tom Monnier, Roman Shapovalov, Andrea Vedaldi, David Novotn |
| 2024 | CVPR | ViewDiff: 3D-Consistent Image Generation with Text-to-Image Models. | Lukas Hllein, Aljaz Bozic, Norman Mller, David Novotn, Hung-Yu Tseng, Christian Richardt, Michael Zollhfer, Matthias Niener |
| 2024 | CVPR | VGGSfM: Visual Geometry Grounded Deep Structure from Motion. | Jianyuan Wang, Nikita Karaev, Christian Rupprecht, David Novotn |
| 2024 | ECCV | GOEmbed: Gradient Origin Embeddings for Representation Agnostic 3D Feature Learning. | Animesh Karnewar, Roman Shapovalov, Tom Monnier, Andrea Vedaldi, Niloy J. Mitra, David Novotn |
| 2024 | ECCV | Animal Avatars: Reconstructing Animatable 3D Animals from Casual Videos. | Remy Sabathier, Niloy J. Mitra, David Novotn |
| 2023 | CVPR | HOLODIFFUSION: Training a 3D Diffusion Model Using 2D Images. | Animesh Karnewar, Andrea Vedaldi, David Novotn, Niloy J. Mitra |
| 2023 | CVPR | 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 Novotn |
| 2023 | ICCV | HoloFusion: Towards Photo-realistic 3D Generative Modeling. | Animesh Karnewar, Niloy J. Mitra, Andrea Vedaldi, David Novotn |
| 2023 | ICCV | Replay: Multi-modal Multi-view Acted Videos for Casual Holography. | Roman Shapovalov, Yanir Kleiman, Ignacio Rocco, David Novotn, Andrea Vedaldi, Changan Chen, Filippos Kokkinos, Benjamin Graham, Natalia Neverova |
| 2023 | ICCV | PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle Adjustment. | Jianyuan Wang, Christian Rupprecht, David Novotn |
| 2023 | WACV | Self-supervised Correspondence Estimation via Multiview Registration. | Mohamed El Banani, Ignacio Rocco, David Novotn, Andrea Vedaldi, Natalia Neverova, Justin Johnson, Benjamin Graham |
| 2022 | CVPR | 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 Novotn, Daniel DeTone, Richard A. Newcombe |
| 2022 | CVPR | Feature Query Networks: Neural Surface Description for Camera Pose Refinement. | Hugo Germain, Daniel DeTone, Geoffrey Pascoe, Tanner Schmidt, David Novotn, Richard A. Newcombe, Chris Sweeney, Richard Szeliski, Vasileios Balntas |
| 2022 | CVPR | KeyTr: Keypoint Transporter for 3D Reconstruction of Deformable Objects in Videos. | David Novotn, Ignacio Rocco, Samarth Sinha, Alexandre Carlier, Gael Kerchenbaum, Roman Shapovalov, Nikita Smetanin, Natalia Neverova, Benjamin Graham, Andrea Vedaldi |
| 2021 | CVPR | NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go. | Marvin Eisenberger, David Novotn, Gael Kerchenbaum, Patrick Labatut, Natalia Neverova, Daniel Cremers, Andrea Vedaldi |
| 2021 | CVPR | Unsupervised Learning of 3D Object Categories From Videos in the Wild. | Philipp Henzler, Jeremy Reizenstein, Patrick Labatut, Roman Shapovalov, Tobias Ritschel, Andrea Vedaldi, David Novotn |
| 2021 | CVPR | Discovering Relationships Between Object Categories via Universal Canonical Maps. | Natalia Neverova, Artsiom Sanakoyeu, Patrick Labatut, David Novotn, Andrea Vedaldi |
| 2021 | ICCV | 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 Novotn |
| 2021 | ICCV | DensePose 3D: Lifting Canonical Surface Maps of Articulated Objects to the Third Dimension. | Roman Shapovalov, David Novotn, Benjamin Graham, Patrick Labatut, Andrea Vedaldi |
| 2019 | ICCV | C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion. | David Novotn, Nikhila Ravi, Benjamin Graham, Natalia Neverova, Andrea Vedaldi |
| 2018 | CVPR | Self-Supervised Learning of Geometrically Stable Features Through Probabilistic Introspection. | David Novotn, Samuel Albanie, Diane Larlus, Andrea Vedaldi |
| 2018 | ECCV | Semi-convolutional Operators for Instance Segmentation. | David Novotn, Samuel Albanie, Diane Larlus, Andrea Vedaldi |
| 2017 | CVPR | AnchorNet: A Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching. | David Novotn, Diane Larlus, Andrea Vedaldi |
| 2017 | ICCV | Learning 3D Object Categories by Looking Around Them. | David Novotn, Diane Larlus, Andrea Vedaldi |
| 2016 | BMVC | I Have Seen Enough: Transferring Parts Across Categories. | David Novotn, Diane Larlus, Andrea Vedaldi |
| 2016 | ECCV | Learning the Structure of Objects from Web Supervision. | David Novotn, Diane Larlus, Andrea Vedaldi |