Adamdad / Awesome-Anything

AI methods for Anything: AnyClass, AnyObject, AnyGeneration, AnyModel

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Awesome-Anything

Awesome Anything

A curated list of general AI methods for Anything: AnyClass, AnyObject, AnyGeneration, AnyModel, etc. Contributions are welcome!

Anything

Title & Authors Intro Useful Links
Segment Anything
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alex Berg, Wan-Yen Lo, Piotr Dollar, Ross Girshick
intro [Github]
[Page]
[Demo]
[Grounded-SAM (Project)]
Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection
Shilong Liu and Zhaoyang Zeng and Tianhe Ren and Feng Li and Hao Zhang and Jie Yang and Chunyuan Li and Jianwei Yang and Hang Su and Jun Zhu and Lei Zhang
intro [Github]
[Demo]
[segment-anything-video (Project)]
Kadir Nar
intro [Github]
[segment-any-moving (Prject)]
Towards Segmenting Anything That Moves
Achal Dave, Pavel Tokmakov, Deva Ramanan
[Github]
[Stable-Diffusion (Project)]
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach and Andreas Blattmann and Dominik Lorenz and Patrick Esser and Björn Ommer
intro [Github]
[Page]
[Demo]

AnyModel

Titile & Authors Intro Useful Links
[Jarvis (Project)]
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace
Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, Yueting Zhuang
[Github]
[Demo]
TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs
Yaobo Liang, Chenfei Wu, Ting Song, Wenshan Wu, Yan Xia, Yu Liu, Yang Ou, Shuai Lu, Lei Ji, Shaoguang Mao, Yun Wang, Linjun Shou, Ming Gong, Nan Duan
intro [Github]
[MQBench (Project)]
MQBench: Towards Reproducible and Deployable Model Quantization Benchmark
Yuhang Li and Mingzhu Shen* and Jian Ma* and Yan Ren* and Mingxin Zhao* and Qi Zhang* and Ruihao Gong* and Fengwei Yu and Junjie Yan*
intro [Github]
[Page]
[Torch-Pruning (Project)]
DepGraph: Towards Any Structural Pruning
Gongfan Fang, Xinyin Ma, Mingli Song, Michael Bi Mi, Xinchao Wang
intro [Github]
[Demo]
[Only Train Once (Project)]
OTOv2: Automatic, Generic, User-Friendly
Tianyi Chen, Luming Liang, Tianyu Ding, Ilya Zharkov
intro Github

AnyX

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AI methods for Anything: AnyClass, AnyObject, AnyGeneration, AnyModel