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dhtsing's Projects

2bivqa icon 2bivqa

2BiVQA is a no-reference deep learning based video quality assessment metric.

bitrate-ladder-benchmark icon bitrate-ladder-benchmark

This repository contains the code for our paper on Benchmarking Learning-based Bitrate Ladder Prediction Methods for Adaptive Video Streaming

edgenets icon edgenets

This repository contains the source code of our work on designing efficient CNNs for computer vision

feature_mirnetv2 icon feature_mirnetv2

[TPAMI 2022] Learning Enriched Features for Fast Image Restoration and Enhancement. Results on Defocus Deblurring, Denoising, Super-resolution, and image enhancement

featurebased-nrvqa icon featurebased-nrvqa

This repository contains the source code to reproduce the paper "Feature-based No-Reference Video Quality Assessment using Extra Trees".

flownet2 icon flownet2

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

gmflownet icon gmflownet

Global Matching with Overlapping Attention for Optical Flow Estimation, CVPR 2022

gpt_academic icon gpt_academic

为ChatGPT/GLM提供图形交互界面，特别优化论文阅读润色体验，模块化设计支持自定义快捷按钮&函数插件，支持代码块表格显示，Tex公式双显示，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持清华chatglm等本地模型。兼容复旦MOSS, llama, rwkv, 盘古, newbing, claude等

simplevqa icon simplevqa

A Deep Learning based No-reference Quality Assessment Model for UGC Videos

slowfast icon slowfast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

swin-transformer icon swin-transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

swin-transformer-v2 icon swin-transformer-v2

PyTorch reimplementation of the paper "Swin Transformer V2: Scaling Up Capacity and Resolution" [CVPR 2022].

vvenc icon vvenc

VVenC, the Fraunhofer Versatile Video Encoder

x264-x265-qaac-ffprobe-ultimatetutorial icon x264-x265-qaac-ffprobe-ultimatetutorial

主打解析编码器内部逻辑和参数说明，从基础到全网没人讲的算法，没人画的图解，没人做的排版整理全都在此集齐；因此叫Ultimate Tutorial

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