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Awesome-Anything

通用AI方法的精选资源库

Awesome-Anything是一个精选的通用人工智能资源库,涵盖对象分割、图像生成、3D处理、模型优化和多任务学习等领域。该项目汇集了各种创新技术和工具,为AI研究和开发提供全面支持,助力人工智能技术的进步。

Awesome-Anything

Awesome Awesome Anything

A curated list of general AI methods for Anything: AnyObject, AnyGeneration, AnyModel, AnyTask, etc.

Contributions are welcome!

  • Awesome-Anything
    • AnyObject - Segmentation, Detection, Classification, Medical Image, OCR, Pose, etc.
    • AnyGeneration - Text-to-Image Generation, Editing, Inpainting, Style Transfer, Video Frame Interpolation, etc.
    • Any3D - 3D Generation, Segmentation, etc.
    • AnyModel - Any Pruning, Any Quantization, Model Reuse.
    • AnyTask - LLM Controller + ModelZoo, General Decoding, Multi-Task Learning.
    • AnyX - Other Topics: Captioning, etc.
    • Paper List

AnyObject

Title & AuthorsIntroUseful Links
Star
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
> Meta Research
> Preprint'23

[Segment Anything (Project)]
intro[Github]
[Page]
[Demo]
Star
OVSeg: Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP
Feng Liang, Bichen Wu, Xiaoliang Dai, Kunpeng Li, Yinan Zhao, Hang Zhang, Peizhao Zhang, Peter Vajda, Diana Marculescu
> Meta Research
> Preprint'23

[OVSeg (Project)]
image[Github]
[Page]
Star
Learning to Segment Every Thing
Ronghang Hu, Piotr Dollar, Kaiming He, Trevor Darrell, Ross Girshick
> UC Berkeley, FAIR
> CVPR'18

[seg_every_thing (Project)]
image[Github]
[Page]
Star
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
> IDEA-Research
> Preprint'23

[Grounded-SAM, GroundingDINO (Project)]
intro[Github]
[Demo]
Star
SegGPT: Segmenting Everything In Context
Xinlong Wang, Xiaosong Zhang, Yue Cao, Wen Wang, Chunhua Shen, Tiejun Huang
> BAAI-Vision
> Preprint'23

[SegGPT (Project)]
image[Github]
V3Det: Vast Vocabulary Visual Detection Dataset
Jiaqi Wang, Pan Zhang, Tao Chu, Yuhang Cao, Yujie Zhou, Tong Wu, Bin Wang, Conghui He, Dahua Lin
> Shanghai AI Laboratory, CUHK
> Preprint'23
image--
Star
segment-anything-video (Project)
Kadir Nar
intro[Github]
Star
Towards Segmenting Anything That Moves
Achal Dave, Pavel Tokmakov, Deva Ramanan
> ICCV'19 Workshop

[segment-any-moving (Project)]
[Github]
Star
Semantic Segment Anything
Jiaqi Chen, Zeyu Yang, Li Zhang

[Semantic-Segment-Anything (Project)]
image[Github]
Star
Grounded Segment Anything: From Objects to Parts (Project)
Peize Sun and Shoufa Chen
intro[Github]
Star
GroundedSAM-zero-shot-anomaly-detection (Project)
Yunkang Cao
image[Github]
Star
Segment Anything Labelling Tool (SALT) (Project)
Anurag Ghosh
intro[Github]
Star
Prompt-Segment-Anything (Project)
Rockey
intro[Github]
Star
SAM-RBox (Project)
Qingyun Li
intro[Github]
Star
VISAM (Project)
Feng Yan, Weixin Luo, Yujie Zhong, Yiyang Gan, Lin Ma
intro[Github]
Star
Segment Anything EO tools: Earth observation tools for Meta AI Segment Anything (Project)
Aliaksandr Hancharenka, Alexander Chichigin
intro[Github]
Star
napari-segment-anything: Segment Anything Model (SAM) native Qt UI (Project)
Jordão Bragantini, Kyle I S Harrington, Ajinkya Kulkarni
image[Github]
Star
SAM-Medical-Imaging: Segment Anything Model (SAM) native Qt UI (Project)
Jordão Bragantini, Kyle I S Harrington, Ajinkya Kulkarni
image[Github]
Star
OCR-SAM: Combining MMOCR with Segment Anything & Stable Diffusion. (Project)
Zhenhua Yang, Qing Jiang
image[Github]
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