Stars
Official Pytorch implementation of "Visual Style Prompting with Swapping Self-Attention"
Official implementation of "DreamStyler: Paint by Style Inversion with Text-to-Image Diffusion Models" (AAAI24)
๐๏ธ ๐ผ๏ธ ๐ฅPyTorch Toolbox for Image Quality Assessment, including PSNR, SSIM, LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, TOPIQ, NIMA, DBCNN, BRISQUE, PI and more...
Comparison of IQA models in Perceptual Optimization
Matplotlib styles for scientific plotting
[ICCV 2023] VPD is a framework that leverages the high-level and low-level knowledge of a pre-trained text-to-image diffusion model to downstream visual perception tasks.
Label-Efficient Semantic Segmentation with Diffusion Models (ICLR'2022)
A Collection of Papers and Codes in CVPR2023/2022 about low level vision
A beautiful, simple, clean, and responsive Jekyll theme for academics
Official implementation of the paper 'High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network' in CVPR 2021
NVIDIA's Deep Imagination Team's PyTorch Library
Collection of awesome resources on image-to-image translation.
Papers, repository and other data about anime or manga research. Please let me know if you have information that the list does not include.
This repo will implement a series of anime stylized algorithm. AnimeGAN, White-box Cartoonize.. etc
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(ECCV 2020) Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks
Code for the paper "Controlling Style and Semantics in Weakly-Supervised Image Generation", ECCV 2020
Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch
Implementation of soft parameter sharing for neural networks
Rethinking the Truly Unsupervised Image-to-Image Translation - Official PyTorch Implementation (ICCV 2021)
Semantically Multi-modal Image Synthesis(CVPR 2020)
SEAN: Image Synthesis with Semantic Region-Adaptive Normalization (CVPR 2020, Oral)
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
Code for NeurIPS 2019 paper "Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis"