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.emacs.d

ahdrnet

Attention-guided Network for Ghost-free High Dynamic Range Imaging

bistnet

chatgpt_academic

科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python工程剖析功能/自我剖析功能

colormnet

command_demo

demo.org

controlnet-v1-1-nightly

Nightly release of ControlNet 1.1

cvpr2023_ntire_video_colorization

Baseline model and evaluation code for CVPR 2023 NTIRE workshop Video Colorization challenge

disentangledcolorization

A colorization framework that disentangles the color multimodality and the structural consistency via adaptively located anchors, so that both aspects can be achieved effectively. [SIGGRAPH Asia 2022]

enet-baseline-model

fastervit

Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention

gamut-mlp

Repository for the paper: GamutMLP - A Lightweight MLP for Color Loss Recovery (CVPR 2023)

image-cutting-tool

Image cutting, comparison and save.

image_quality_enhancement_system

invertible-image-rescaling

[ECCV 2020, IJCV 2022] Invertible Image Rescaling

mat

MAT: Mask-Aware Transformer for Large Hole Image Inpainting

mulimgviewer

MulimgViewer is a multi-image viewer that can open multiple images in one interface, which is convenient for image comparison and image stitching.

ntire23-video-colorization

paint-by-example

Paint by Example: Exemplar-based Image Editing with Diffusion Models

palettenerf

Official implementation of the paper PaletteNeRF: Palette-based Appearance Editing of Neural Radiance Fields

pvdm

Official PyTorch implementation of Video Probabilistic Diffusion Models in Projected Latent Space (CVPR 2023).

pytorch-hed

a reimplementation of Holistically-Nested Edge Detection in PyTorch

redegnet

From Face to Natural Image: Learning Real Degradation for Blind Image Super-Resolution (ECCV 2022)

sam-hq

Segment Anything in High Quality

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.

sftgan

CVPR18 - Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform

stark

[ICCV'21] Learning Spatio-Temporal Transformer for Visual Tracking

test

text2video-zero

Text-to-Image Diffusion Models are Zero-Shot Video Generators

tmp_data