Jyxarthur / flowsam
[ACCV 2024 (Oral)] Official Implementation of "Moving Object Segmentation: All You Need Is SAM (and Flow)" Junyu Xie, Charig Yang, Weidi Xie, Andrew Zisserman
☆290Updated last month
Alternatives and similar repositories for flowsam:
Users that are interested in flowsam are comparing it to the libraries listed below
- [ECCV 2024 & NeurIPS 2024] Official implementation of the paper TAPTR & TAPTRv2 & TAPTRv3☆251Updated last month
- [ECCV 2024] Improving 2D Feature Representations by 3D-Aware Fine-Tuning☆257Updated 2 months ago
- Official implementation of "Local All-Pair Correspondence for Point Tracking" (ECCV 2024)☆152Updated 2 months ago
- Depth Any Video with Scalable Synthetic Data☆441Updated last month
- ☆221Updated 7 months ago
- Official Pytorch Implementation for “DINO-Tracker: Taming DINO for Self-Supervised Point Tracking in a Single Video”☆457Updated 2 months ago
- Pytorch Implementation of "SMITE: Segment Me In TimE"☆201Updated 3 months ago
- Dense Optical Tracking: Connecting the Dots☆265Updated 2 months ago
- [ECCV 2024] Decomposition Betters Tracking Everything Everywhere☆114Updated 6 months ago
- PIPs++☆301Updated 6 months ago
- A tool for efficient semi-supervised video object segmentation (great results with minimal manual labor) and a dataset for benchmarking☆188Updated 10 months ago
- [ECCV2024 - Oral, Best Paper Award Candidate] SEA-RAFT: Simple, Efficient, Accurate RAFT for Optical Flow☆391Updated 3 months ago
- Video Depth without Video Models☆426Updated last month
- Prompt Depth Anything☆481Updated last week
- [WACV 2025] Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think☆377Updated last month
- [CVPR'2024] Official implementation of the paper "ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation"☆177Updated last week
- ☆213Updated 3 weeks ago
- [CVPR 2024 Highlight] Official PyTorch implementation of SpatialTracker: Tracking Any 2D Pixels in 3D Space☆779Updated 3 months ago
- [CVPR 2024] Probing the 3D Awareness of Visual Foundation Models☆290Updated 6 months ago
- Code for the paper "pix2gestalt: Amodal Segmentation by Synthesizing Wholes" (CVPR 2024)☆153Updated 8 months ago
- ChronoDepth: Learning Temporally Consistent Video Depth from Video Diffusion Priors☆208Updated last month
- [CVPR'24] Group Anything with Radiance Fields☆406Updated 2 months ago
- Official Code For Track Everything Everywhere Fast and Robustly☆57Updated 4 months ago
- [NeurIPS 2024] Code release for "Segment Anything without Supervision"☆442Updated 3 months ago
- ☆115Updated 4 months ago
- MFT: Long-Term Tracking of Every Pixel -- code for the WACV 2024 paper☆55Updated 2 months ago
- Muggled SAM: Segmentation without the magic☆96Updated this week
- Official implementation of Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction☆598Updated last week
- Universal Monocular Metric Depth Estimation☆689Updated 3 months ago