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PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
A curated list of papers, code and resources pertaining to image harmonization.
[CVPR 2020] The first large-scale public benchmark dataset for image harmonization. The code used in our paper "DoveNet: Deep Image Harmonization via Domain Verification", CVPR2020. Useful for imag…
[CVPR 2021] Region-aware Adaptive Instance Normalization for Image Harmonization
[CVPR 2022] Official PyTorch Implementation for DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models
Just playing with getting CLIP Guided Diffusion running locally, rather than having to use colab.
Release for Improved Denoising Diffusion Probabilistic Models
A playbook for systematically maximizing the performance of deep learning models.
A collection of resources and papers on Diffusion Models
Official Pytorch implementation of "CLIPstyler:Image Style Transfer with a Single Text Condition" (CVPR 2022)
Using CLIP and StyleGAN to generate faces from prompts.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Streamlit demo built around the official StyleGAN-nada colab notebook to experiment quickly with training and testing new models.
A clean and readable Pytorch implementation of CycleGAN
Image-to-Image Translation in PyTorch
Moderate-Weight Implementation Code for "WESPE: Weakly Supervised Photo Enhancer for Digital Cameras"
A curated list of awesome computer vision resources
A curated list of awesome research papers, projects, code, dataset, workshops etc. related to virtual try-on.