Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories
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Abstract (arXiv)
Obtaining photorealistic reconstructions of objects from sparse views is inherently ambiguous and can only be achieved by learning suitable reconstruction priors. Earlier works on sparse rigid object reconstruction successfully learned such priors from large datasets such as CO3D. In this paper, we extend this approach to dynamic objects. We use cats and dogs as a representative example and introduce Common Pets in 3D (CoP3D), a collection of crowd-sourced videos showing around 4,200 distinct pets. CoP3D is one of the first large-scale datasets for benchmarking non-rigid 3D reconstruction "in the wild". We also propose Tracker-NeRF, a method for learning 4D reconstruction from our dataset. At test time, given a small number of video frames of an unseen object, Tracker-NeRF predicts the trajectories of its 3D points and generates new views, interpolating viewpoint and time. Results on CoP3D reveal significantly better non-rigid new-view synthesis performance than existing baselines.
Key facts. Cited by 29 papers in the map (data through 14 Oct 2026). Builds on 44 of its 55 references that are in the map. First posted on arXiv 7 Nov 2022.
Builds on
44 of 55 references.
References · 44
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Citing papers per year: 2022: 1; 2023: 3; 2024: 7; 2025: 13; 2026: 5.
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- 2023Robust Dynamic Radiance Fieldscited by 194
- 2025SpatialTrackerV2: 3D Point Tracking Made Easycited by 87
- 2023Consistent-1-to-3: Consistent Image to 3D View Synthesis via Geometry-aware Diffusion Modelscited by 79
- 2025Uni3C: Unifying Precisely 3D-Enhanced Camera and Human Motion Controls for Video Generationcited by 77
- 2023Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstructioncited by 61
- 2024Learning the 3D Fauna of the Webcited by 59
- 2022SparsePose: Sparse-View Camera Pose Regression and Refinementcited by 53
- 20254DGT: Learning a 4D Gaussian Transformer Using Real-World Monocular Videoscited by 49
- 2024Recent Trends in 3D Reconstruction of General Non-Rigid Scenescited by 28
- 2025Dynamic Camera Poses and Where to Find Themcited by 27
- 2024Animal Avatars: Reconstructing Animatable 3D Animals from Casual Videoscited by 26
- 2024Fast Encoder-Based 3D from Casual Videos via Point Track Processingcited by 14
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- 2024SEED4D: A Synthetic Ego--Exo Dynamic 4D Data Generator, Driving Dataset and Benchmarkcited by 8
- 2024Temporal Residual Jacobians For Rig-free Motion Transfercited by 7
- 20254D-Animal: Freely Reconstructing Animatable 3D Animals from Videoscited by 6
- 2026Mem3R: Streaming 3D Reconstruction with Hybrid Memory via Test-Time Trainingcited by 6
- 2024Dynamic NeRF: A Reviewcited by 5
- 2025LIM: Large Interpolator Model for Dynamic Reconstructioncited by 5
- 2025Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Fieldcited by 5
- 2025DynamicVerse: A Physically-Aware Multimodal Framework for 4D World Modelingcited by 5
- 2025DogMo: A Large-Scale Multi-View RGB-D Dataset for 4D Canine Motion Recoverycited by 4
- 2025Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animalscited by 2
- 2025PoseBH: Prototypical Multi-Dataset Training Beyond Human Pose Estimationcited by 1
- 2026SMAL-pets: SMAL Based Avatars of Pets from Single Imagecited by 1
- 2026InterPet4D: A Multimodal 4D Human-Pet Interaction Dataset for Pet Motion Generationcited by 1
- 2026Kirin: Animal Motion Generation from In-the-Wild Videocited by 1
- 2025SIRE: SE(3) Intrinsic Rigidity Embeddingscited by 0
- 2025Broadening View Synthesis of Dynamic Scenes from Constrained Monocular Videoscited by 0
- 2026ORMA: Optimization-based Monocular 4D Reconstruction of Articulated Animalscited by 0
- 2026ORMA: Optimization-based Monocular 4D Reconstruction of Articulated Animals29 Sep 2026
- 2026Kirin: Animal Motion Generation from In-the-Wild Video1 Sep 2026
- 2026InterPet4D: A Multimodal 4D Human-Pet Interaction Dataset for Pet Motion Generation11 Jul 2026
- 2026Mem3R: Streaming 3D Reconstruction with Hybrid Memory via Test-Time Training8 Apr 2026
- 2026SMAL-pets: SMAL Based Avatars of Pets from Single Image17 Mar 2026
- 2025Broadening View Synthesis of Dynamic Scenes from Constrained Monocular Videos16 Dec 2025
- 2025DynamicVerse: A Physically-Aware Multimodal Framework for 4D World Modeling2 Dec 2025
- 2025DogMo: A Large-Scale Multi-View RGB-D Dataset for 4D Canine Motion Recovery28 Oct 2025
- 2025Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals22 Aug 2025
- 2025SpatialTrackerV2: 3D Point Tracking Made Easy16 Jul 2025
- 20254D-Animal: Freely Reconstructing Animatable 3D Animals from Videos14 Jul 2025
- 20254DGT: Learning a 4D Gaussian Transformer Using Real-World Monocular Videos9 Jun 2025
17 more
- 2025PoseBH: Prototypical Multi-Dataset Training Beyond Human Pose Estimation23 May 2025
- 2025Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field15 May 2025
- 2025Dynamic Camera Poses and Where to Find Them24 Apr 2025
- 2025Uni3C: Unifying Precisely 3D-Enhanced Camera and Human Motion Controls for Video Generation21 Apr 2025
- 2025LIM: Large Interpolator Model for Dynamic Reconstruction28 Mar 2025
- 2025SIRE: SE(3) Intrinsic Rigidity Embeddings10 Mar 2025
- 2024SEED4D: A Synthetic Ego--Exo Dynamic 4D Data Generator, Driving Dataset and Benchmark1 Dec 2024
- 2024Temporal Residual Jacobians For Rig-free Motion Transfer20 Jul 2024
- 2024Dynamic NeRF: A Review14 May 2024
- 2024Fast Encoder-Based 3D from Casual Videos via Point Track Processing10 Apr 2024
- 2024Animal Avatars: Reconstructing Animatable 3D Animals from Casual Videos25 Mar 2024
- 2024Recent Trends in 3D Reconstruction of General Non-Rigid Scenes22 Mar 2024
- 2024Learning the 3D Fauna of the Web4 Jan 2024
- 2023Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstruction2 Dec 2023
- 2023Consistent-1-to-3: Consistent Image to 3D View Synthesis via Geometry-aware Diffusion Models4 Oct 2023
- 2023Robust Dynamic Radiance Fields5 Jan 2023
- 2022SparsePose: Sparse-View Camera Pose Regression and Refinement29 Nov 2022
- 2023Robust Dynamic Radiance Fieldscited by 194
- 2025SpatialTrackerV2: 3D Point Tracking Made Easycited by 87
- 2025Uni3C: Unifying Precisely 3D-Enhanced Camera and Human Motion Controls for Video Generationcited by 77
- 2023Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstructioncited by 61
- 2024Learning the 3D Fauna of the Webcited by 59
- 2022SparsePose: Sparse-View Camera Pose Regression and Refinementcited by 53
- 20254DGT: Learning a 4D Gaussian Transformer Using Real-World Monocular Videoscited by 49
- 2024Recent Trends in 3D Reconstruction of General Non-Rigid Scenescited by 28
- 2025Dynamic Camera Poses and Where to Find Themcited by 27
- 2024Animal Avatars: Reconstructing Animatable 3D Animals from Casual Videoscited by 26
- 2024Fast Encoder-Based 3D from Casual Videos via Point Track Processingcited by 14
- 2024SEED4D: A Synthetic Ego--Exo Dynamic 4D Data Generator, Driving Dataset and Benchmarkcited by 8
12 most cited of 27 All 27 (JSON)
- 2026ORMA: Optimization-based Monocular 4D Reconstruction of Articulated Animals29 Sep 2026
- 2026Kirin: Animal Motion Generation from In-the-Wild Video1 Sep 2026
- 2026InterPet4D: A Multimodal 4D Human-Pet Interaction Dataset for Pet Motion Generation11 Jul 2026
- 2026Mem3R: Streaming 3D Reconstruction with Hybrid Memory via Test-Time Training8 Apr 2026
- 2026SMAL-pets: SMAL Based Avatars of Pets from Single Image17 Mar 2026
- 2025Broadening View Synthesis of Dynamic Scenes from Constrained Monocular Videos16 Dec 2025
- 2025DogMo: A Large-Scale Multi-View RGB-D Dataset for 4D Canine Motion Recovery28 Oct 2025
- 2025Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals22 Aug 2025
- 2025SpatialTrackerV2: 3D Point Tracking Made Easy16 Jul 2025
- 20254D-Animal: Freely Reconstructing Animatable 3D Animals from Videos14 Jul 2025
- 20254DGT: Learning a 4D Gaussian Transformer Using Real-World Monocular Videos9 Jun 2025
- 2025PoseBH: Prototypical Multi-Dataset Training Beyond Human Pose Estimation23 May 2025
12 newest of 27 All 27 (JSON)