Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
:notebook: A curated list of deep learning image matting papers and codes
| Date | Stars |
|---|---|
| 2026-07-31 | 437 |
| 2026-08-02 | 437 |
| 2026-08-06 | 436 |
Today
-1 stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
# Awesome Image Matting [](https://awesome.re) A curated list of deep learning image matting papers and codes since 2016, Inspired by [awesome-object-detection](https://github.com/amusi/awesome-object-detection), [deep_learning_object_detection](https://github.com/hoya012/deep_learning_object_detection) and [awesome-deep-learning-papers](https://github.com/terryum/awesome-deep-learning-papers). #### UPDATE - [x] Video Matting #### :star: If you find this repo useful, please star it!! ## Background **Image Matting** is the process of accurately estimating the foreground object in images and videos. It is a very important technique in image and video editing applications, particularly in film production for creating visual effects. In case of image segmentation, we segment the image into foreground and background by labeling the pixels. Image segmentation generates a binary image, in which a pixel either belongs to foreground or background. However, Image Matting is different from the image segmentation, wherein some pixels may belong to foreground as well as background, such pixels are called partial or mixed pixels. In order to fully separate the foreground from the background in an image, accurate estimation of the alpha values for partial or mixed pixels is necessary. ## Video Matting - Attention-guided Temporally Coherent Video Object Matting [MM 2021] [Paper](https://arxiv.org/abs/2105.11427) - Deep Video Matting via Spatio-Temporal Alignment and Aggregation [CVPR 2021] [Paper](https://arxiv.org/abs/2104.11208) [Code](https://github.com/nowsyn/DVM) - Robust High-Resolution Video Matting with Temporal Guidance [WACV 2022] [Paper](https://arxiv.org/pdf/2108.11515.pdf) [Code](https://github.com/PeterL1n/RobustVideoMatting) [Project](https://peterl1n.github.io/RobustVideoMatting/#/) ## Image Matting - ViTMatte: Boosting Image Matting with Pretrained Plain Vision Transformers [Information Fusion] [Paper](https://arxiv.org/abs/2305.15272) [Code](https://github.com/hustvl/ViTMatte) [🤗Transformers-ViTMatte](https://huggingface.co/docs/transformers/main/model_doc/vitmatte#vitmatte) :fire: - MatteFormer: Transformer-Based Image Matting via Prior-Tokens [CVPR 2022] [Paper](https://arxiv.org/abs/2203.15662) [Code](https://github.com/webtoon/matteformer) :fire: - Boosting Robustness of Image Matting with Context Assembling and Strong Data Augmentation [arXiv 2022] [Paper](https://arxiv.org/abs/2201.06889) - MODNet: Real-Time Trimap-Free Portrait Matting via Objective Decomposition [AAAI 2022] [Paper](https://arxiv.org/pdf/2011.11961.pdf) [Code](https://github.com/ZHKKKe/MODNet) - Deep Automatic Natural Image Matting [IJCAI 2021] [Paper](https://arxiv.org/abs/2107.07235) [Code](https://github.com/JizhiziLi/AIM) - Deep Image Matting with Flexible Guidance Input [BMVC 2021] [Paper](https://arxiv.org/abs/2110.10898) [Code](https://github.com/Charch-630/FGI-Matting) - Highly Efficient Natural Image Matting [BMVC 2021] [Paper](https://arxiv.org/abs/2110.12748) - Semantic Image Matting [CVPR 2021] [Paper](https://arxiv.org/abs/2104.08201) [Code](https://github.com/nowsyn/SIM) - Towards Enhancing Fine-grained Details for Image Matting [WACV 2021] [Paper](https://openaccess.thecvf.com/content/WACV2021/papers/Liu_Towards_Enhancing_Fine-Grained_Details_for_Image_Matting_WACV_2021_paper.pdf) - Multi-scale Information Assembly for Image Matting [Pacific Graphics 2020] [Paper](https://arxiv.org/abs/2101.02391) - Improved Image Matting via Real-time User Clicks and Uncertainty Estimation [CVPR 2021] [Paper](https://arxiv.org/abs/2012.08323) - Mask Guided Matting via Progressive Refinement Network [CVPR 2021] [Paper](https://arxiv.org/pdf/2012.06722.pdf) - Real-Time High-Resolution Background Matting [CVPR 2021] [Paper](https://arxiv.org/abs/2012.07810) [Code](PeterL1n/BackgroundMattingV2) - End-to-end Animal Image Matting [arXiv] [Paper](https://arxiv.org/pdf/2010.16188.pdf) [Code
Excerpt of 7,714 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:4260906231c2b6ab, topic:awesome, desc:curated list, readme:curated list