#196 · Primary category: Computer Vision
Video-Depth-Anything
[CVPR 2025 Highlight] Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
Project last updated:10/07/25
GitHub Stars
2.1K
Forks
194
Contributors
11
License
Apache-2.0
Why we included this project
Per-frame depth from single-image models tends to flicker across video, which breaks downstream tasks like 3D reconstruction or VFX. Video Depth Anything keeps depth stable over arbitrarily long clips by carrying temporal information between frames, and it adds an experimental streaming mode for continuous input. Pretrained small, base, and large checkpoints, plus metric-depth versions, run through a single script that outputs grayscale, NPZ, or EXR files. It's lighter and faster than diffusion-based video depth methods, so long footage stays practical on one GPU. The repo also bundles inference, evaluation, and training-loss code, making it a solid starting point for teams building scene-understanding tools.
Articles for this project
No articles for this project yet.
To suggest a topic or contribute an article, contact us.
Related projects in this category
opencv
Open Source Computer Vision Library
RuView
π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video.
PaddleOCR
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
MinerU
Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
tesseract
Tesseract Open Source OCR Engine (main repository)