Repository navigation
matting
- Website
- Wikipedia
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.
Effortless data labeling with AI support from Segment Anything and other awesome models.
Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
[IJCV 2022] Bridging Composite and Real: Towards End-to-end Deep Image Matting
FaceXlib aims at providing ready-to-use face-related functions based on current STOA open-source methods.
Python implementation of A. Levin D. Lischinski and Y. Weiss. A Closed Form Solution to Natural Image Matting. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2006, New York
[IJCAI'21] Deep Automatic Natural Image Matting
[ACM MM 2021] Privacy-Preserving Portrait Matting
ZIM: Zero-Shot Image Matting for Anything
Robust Human Matting via Semantic Guidance, ACCV 2022.
[CVPR 2023] Referring Image Matting