EndyWon

stable-diffusion

A latent text-to-image diffusion model

DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

guided-diffusion

improved-diffusion

Release for Improved Denoising Diffusion Probabilistic Models

Palette-Image-to-Image-Diffusion-Models

Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch

DiffusionCLIP

[CVPR 2022] Official PyTorch Implementation for DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models

improved-aesthetic-predictor

CLIP+MLP Aesthetic Score Predictor

HiDT

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

ritm_interactive_segmentation

Reviving Iterative Training with Mask Guidance for Interactive Segmentation

blended-diffusion

Official implementation for "Blended Diffusion for Text-driven Editing of Natural Images" [CVPR 2022]

blended-latent-diffusion

Official implementation for "Blended Latent Diffusion" [SIGGRAPH 2023]

Semantic_Human_Matting

Semantic Human Matting

StyleTransferTrilogy

风格迁移三部曲

fast-neural-style

pytorch implementation of fast-neural-style

PytorchNeuralStyleTransfer

Implementation of Neural Style Transfer in Pytorch

DiffuseIT

Official repository of "Diffusion-based Image Translation using Disentangled Style and Content Representation" ( ICLR 2023 )

contrastive_learning_codes

A list of Contrastive Learning Papers&Codes. Unsupervised: MoCo/SimCLR/SwAV/BYOL/SimSiam

AdaAttN

Officially unofficial PyTorch re-implementation of paper: AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer, ICCV 2021.

URST

[AAAI 2022] Towards Ultra-Resolution Neural Style Transfer via Thumbnail Instance Normalization

CAST_pytorch

Official implementation of the paper “Domain Enhanced Arbitrary Image Style Transfer via Contrastive Learning”（SIGGRAPH 2022）

IEContraAST

This is the official PyTorch implementation of our paper: "Artistic Style Transfer with Internal-external Learning and Contrastive Learning".

SinIR

Official implementation of "SinIR: Efficient General Image Manipulation with Single Image Reconstruction" (ICML 2021)

MicroAST

Official Pytorch code for "MicroAST: Towards Super-Fast Ultra-Resolution Arbitrary Style Transfer" (AAAI 2023)

Texture-Reformer

Official Pytorch code for "Texture Reformer: Towards Fast and Universal Interactive Texture Transfer" (AAAI 2022)

A-Sliced-Wasserstein-Loss-for-Neural-Texture-Synthesis

Official implementation of "A Sliced Wasserstein Loss for Neural Texture Synthesis" paper (CVPR 2021).

DualAST

This is the official Tensorflow implementation of our paper: "DualAST: Dual Style-Learning Networks for Artistic Style Transfer"

Doodle

🎨 Semantic Style Transfer and Turning Two-Bit Doodles into Fine Artworks

AesUST

Official Pytorch code for "AesUST: Towards Aesthetic-Enhanced Universal Style Transfer" (ACM MM 2022)

CSBNet

Official-implementation for "Universal Video Style Transfer via Crystallization, Separation, and Blending" [IJCAI 2022]

StyleEval

This is the official implementation of paper "Evaluate and Improve the Quality of Neural Style Transfer" (CVIU 2021))