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Awesome-Anything

General AI methods for Anything: AnyObject, AnyGeneration, AnyModel, AnyTask, AnyX

1.9k stars101 forks20 entriesLast push Nov 15, 2023 (2 years ago)License none

This page lists names, links and short descriptions. The original list on GitHub is the source and belongs to its authors.

General

Contributions

are welcome!

AnyObject

V3Det: Vast Vocabulary Visual Detection Dataset

Retrieve Any Object via Prompt-based Tracking

[ArXiv] [Page]

AnyGeneration

GigaGAN: Large-scale GAN for Text-to-Image Synthesis

[Page]

In 2 lists

AnyTask

TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs

[Github]

AnyObject

Segment Anything

Alexander Kirillov

In 2 lists

Learning to Segment Every Thing

Ronghang Hu

Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Shilong Liu

SegGPT: Segmenting Everything In Context

Xinlong Wang

V3Det: Vast Vocabulary Visual Detection Dataset

Pose for Everything: Towards Category-Agnostic Pose Estimation

Lumin Xu

Retrieve Any Object via Prompt-based Tracking

[ArXiv] [Page]

AnyGeneration

High-Resolution Image Synthesis with Latent Diffusion Models

Robin Rombach

Adding Conditional Control to Text-to-Image Diffusion Models

Lvmin Zhang

In 2 lists

GigaGAN: Large-scale GAN for Text-to-Image Synthesis

[Page]

In 2 lists

Inpaint Anything: Segment Anything Meets Image Inpainting

Tao Yu

AnyModel

DepGraph: Towards Any Structural Pruning

Gongfan Fang

MQBench: Towards Reproducible and Deployable Model Quantization Benchmark

Yuhang Li

OTOv2: Automatic, Generic, User-Friendly

Tianyi Chen

Deep Model Reassembly

Xingyi Yang

AnyTask

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace

Yongliang Shen

In 5 listsDetails

TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs

[Github]

Generalized Decoding for Pixel, Image and Language

Xueyan Zou

Pre-Trained Image Processing Transformer

Chen, Hanting

See category
94

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