Research map / 3D vision / Depth and stereo
Temporally Coherent 4D Reconstruction of Complex Dynamic Scenes
Check your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use temporally coherent reconstruction with geodesic star-convexity refinement | multi-view dynamic-scene segmentation · Magician | completeness: 88.7 ± 0.5 -> 91.2 ± 0.2 | Helped |
| Use temporally coherent reconstruction with geodesic star-convexity refinement | multi-view dynamic-scene segmentation · Juggler | completeness: 87.9 ± 0.6 -> 93.3 ± 0.2 | Helped |
| Use temporally coherent reconstruction with geodesic star-convexity refinement | multi-view dynamic-scene segmentation · Odzemok | completeness: 90.1 ± 0.3 -> 91.8 ± 0.2 | Helped |
| Use temporally coherent reconstruction with geodesic star-convexity refinement | multi-view dynamic-scene segmentation · Dance1 | completeness: 99.4 ± 0.2 -> 99.5 ± 0.2 | No clear effect |
| Use temporally coherent reconstruction with geodesic star-convexity refinement | multi-view dynamic-scene segmentation · Office | completeness: 99.3 ± 0.4 -> 99.4 ± 0.2 | No clear effect |
| Use temporally coherent reconstruction with geodesic star-convexity refinement | multi-view dynamic-scene segmentation · Dance2 | completeness: 99.0 ± 0.2 -> 99.0 ± 0.2 | No clear effect |
| Use the proposed segmentation method | static multi-view segmentation · Couch | completeness: 99.6 ± 0.1 -> 99.7 ± 0.3 | No clear effect |
| Use the proposed segmentation method | static multi-view segmentation · Chair | completeness: 99.2 ± 0.4 -> 99.1 ± 0.3 | No clear effect |
| Use the proposed segmentation method | static multi-view segmentation · Car | completeness: 98.0 ± 0.7 -> 98.6 ± 0.4 | No clear effect |
| Use the proposed reconstruction pipeline | dynamic-scene reconstruction · Dance1 | computation time: 295 s -> 254 s | Helped |
| Use the proposed reconstruction pipeline | dynamic-scene reconstruction · Magician | computation time: 311 s -> 325 s | Hurt |
| Use the proposed reconstruction pipeline | dynamic-scene reconstruction · Odzemok | computation time: 381 s -> 363 s | Helped |
Closest papers by meaning
- SparseCam4D: Spatio-Temporally Consistent 4D Reconstruction from Sparse Cameras (CVPR 2026 · similarity 0.88)
- Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting (ICLR 2024 · similarity 0.87)
- Motion4D: Learning 3D-Consistent Motion and Semantics for 4D Scene Understanding (NeurIPS 2025 · similarity 0.86)
- Flux4D: Flow-based Unsupervised 4D Reconstruction (NeurIPS 2025 · similarity 0.86)
- 4DTAM: Non-Rigid Tracking and Mapping via Dynamic Surface Gaussians (CVPR 2025 · similarity 0.85)
- 4D3R: Motion-Aware Neural Reconstruction and Rendering of Dynamic Scenes from Monocular Videos (NeurIPS 2025 · similarity 0.85)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.