David Novotny

ActionMesh: Animated 3D Mesh Generation with Temporal 3D Diffusion CVPR 2026 SceneScribe-1M: A Large-Scale Video Dataset with Comprehensive Geometric and Semantic Annotations CVPR 2026 VGGT-Ω CVPR 2026 LIM: Large Interpolator Model for Dynamic Reconstruction CVPR 2025 PartGen: Part-level 3D Generation and Reconstruction with Multi-view Diffusion Models CVPR 2025 Twinner: Shining Light on Digital Twins in a Few Snaps CVPR 2025 UnCommon Objects in 3D CVPR 2025 VGGT: Visual Geometry Grounded Transformer CVPR 2025 Animal Avatars: Reconstructing Animatable 3D Animals from Casual Videos ECCV 2024 GOEmbed: Gradient Origin Embeddings for Representation Agnostic 3D Feature Learning ECCV 2024 Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR Materials NeurIPS 2024 VGGSfM: Visual Geometry Grounded Deep Structure From Motion CVPR 2024 ViewDiff: 3D-Consistent Image Generation with Text-to-Image Models CVPR 2024 Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories CVPR 2023 HOLODIFFUSION: Training a 3D Diffusion Model Using 2D Images CVPR 2023 HoloFusion: Towards Photo-realistic 3D Generative Modeling ICCV 2023 PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle Adjustment ICCV 2023 Replay: Multi-modal Multi-view Acted Videos for Casual Holography ICCV 2023 Self-Supervised Correspondence Estimation via Multiview Registration WACV 2023 iSDF: Real-Time Neural Signed Distance Fields for Robot Perception RSS 2022 KeyTr: Keypoint Transporter for 3D Reconstruction of Deformable Objects in Videos CVPR 2022 Common Objects in 3D: Large-Scale Learning and Evaluation of Real-Life 3D Category Reconstruction ICCV 2021 DensePose 3D: Lifting Canonical Surface Maps of Articulated Objects to the Third Dimension ICCV 2021 Discovering Relationships Between Object Categories via Universal Canonical Maps CVPR 2021 NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go CVPR 2021 Unsupervised Learning of 3D Object Categories From Videos in the Wild CVPR 2021 3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data NeurIPS 2020 Canonical 3D Deformer Maps: Unifying parametric and non-parametric methods for dense weakly-supervised category reconstruction NeurIPS 2020 Continuous Surface Embeddings NeurIPS 2020 C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion ICCV 2019 Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels NeurIPS 2019 PerspectiveNet: A Scene-consistent Image Generator for New View Synthesis in Real Indoor Environments NeurIPS 2019 Self-Supervised Learning of Geometrically Stable Features Through Probabilistic Introspection CVPR 2018 Semi-convolutional Operators for Instance Segmentation ECCV 2018 AnchorNet: A Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching CVPR 2017 Learning 3D Object Categories by Looking Around Them ICCV 2017 Cascaded Sparse Spatial Bins for Efficient and Effective Generic Object Detection ICCV 2015