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pytorch implementation of fast-neural-style
CLIP+MLP Aesthetic Score Predictor
Official Pytorch code for "MicroAST: Towards Super-Fast Ultra-Resolution Arbitrary Style Transfer" (AAAI 2023)
Official implementation of "A Sliced Wasserstein Loss for Neural Texture Synthesis" paper (CVPR 2021).
Official implementation of "SinIR: Efficient General Image Manipulation with Single Image Reconstruction" (ICML 2021)
Official repository of "Diffusion-based Image Translation using Disentangled Style and Content Representation" ( ICLR 2023 )
A latent text-to-image diffusion model
Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch
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
Implementation of Neural Style Transfer in Pytorch
PyTorch Implementation of "Universal Video Style Transfer via Crystallization, Separation, and Blending" [IJCAI 2022 poster]
Official implementation of the paper “Domain Enhanced Arbitrary Image Style Transfer via Contrastive Learning”（SIGGRAPH 2022）
Official Pytorch code for "AesUST: Towards Aesthetic-Enhanced Universal Style Transfer" (ACM MM 2022)
🎨 Semantic Style Transfer and Turning Two-Bit Doodles into Fine Artworks
Official implementation for "Blended Latent Diffusion" [SIGGRAPH 2023]
Official implementation for "Blended Diffusion for Text-driven Editing of Natural Images" [CVPR 2022]
[CVPR 2022] Official PyTorch Implementation for DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models
Release for Improved Denoising Diffusion Probabilistic Models
This is the official implementation of paper "Evaluate and Improve the Quality of Neural Style Transfer" (CVIU 2021))
A list of Contrastive Learning Papers&Codes. Unsupervised: MoCo/SimCLR/SwAV/BYOL/SimSiam
This is the official PyTorch implementation of our paper: "Artistic Style Transfer with Internal-external Learning and Contrastive Learning".
Official Pytorch code for "Texture Reformer: Towards Fast and Universal Interactive Texture Transfer" (AAAI 2022)
Officially unofficial PyTorch re-implementation of paper: AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer, ICCV 2021.
Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)
[AAAI 2022] Towards Ultra-Resolution Neural Style Transfer via Thumbnail Instance Normalization
This is the official Tensorflow implementation of our paper: "DualAST: Dual Style-Learning Networks for Artistic Style Transfer"
Reviving Iterative Training with Mask Guidance for Interactive Segmentation