ImmortalSdm's repositories
Awesome-Anything
General AI methods for Anything: AnyObject, AnyGeneration, AnyModel, AnyTask, AnyX
Awesome-Image-Inpainting
A curated list of image inpainting and video inpainting papers and resources
best_AI_papers_2022
A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.
Chain-of-ThoughtsPapers
A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".
clean-fid
PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Generalization-Causality
关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记
google-research
Google Research
iLAT
The Image Local Autoregressive Transformer (NIPS2021)
imagebart
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis
In-Context-Learning_PaperList
Paper List for In-context Learning 🌷
mmc4
MultimodalC4 is a multimodal extension of c4 that interleaves millions of images with text.
netron
Visualizer for neural network, deep learning, and machine learning models
NMCE-release
Code for Neural Manifold Clustering and Embedding
object-centric-ovd
[NeurIPS 2022] Official repository of paper titled "Bridging the Gap between Object and Image-level Representations for Open-Vocabulary Detection".
OpenOOD
Benchmarking Generalized Out-of-Distribution Detection
sdm.github.io
AcadHomepage: A Modern and Responsive Academic Personal Homepage
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
StyleCLIP
Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)
stylegan3
Official PyTorch implementation of StyleGAN3
taming-transformers
Taming Transformers for High-Resolution Image Synthesis
Transformer-in-Computer-Vision
A paper list of some recent Transformer-based CV works.
TransGAN
[Preprint] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang
ViTGAN
A PyTorch implementation of ViTGAN based on paper ViTGAN: Training GANs with Vision Transformers.