Research map / 3D vision / Depth and stereo
Robust Consistent Video Depth Estimation
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 CVD instead of COLMAP-dense | Dense video depth estimation · Short video clips | runtime | Helped |
| Use DeepV2D instead of CVD | Dense video depth estimation · 50-frame sequence | runtime: a few minutes | Helped |
| Use DeepV2D instead of CVD | Dense video depth estimation · Video results | depth quality | Hurt |
| Use DeepV2D instead of CVD | Dense video depth estimation · Sequences longer than 75 frames | maximum sequence length: 75 frames | Hurt |
Closest papers by meaning
- Align3R: Aligned Monocular Depth Estimation for Dynamic Videos (CVPR 2025 · similarity 0.90)
- Video Depth Anything: Consistent Depth Estimation for Super-Long Videos (CVPR 2025 · similarity 0.89)
- Depth2Pose: A Pose-Based Benchmark for Monocular Depth Estimation without Ground-Truth Depth (NeurIPS 2026 · similarity 0.89)
- PatchFusion: An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation (CVPR 2024 · similarity 0.87)
- Seurat: From Moving Points to Depth (CVPR 2025 · similarity 0.87)
- MegaSaM: Accurate, Fast and Robust Structure and Motion from Casual Dynamic Videos (CVPR 2025 · similarity 0.87)
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.