harukiyqm Goto Github PK

3d_appearance_sr

This is the official website of our work 3D Appearance Super-Resolution with Deep Learning published on CVPR2019.

6d-object-pose-estimation

This repository summarizes papers and codes for 6D Object Pose Estimation.

algs4

Algorithms, 4th edition textbook code and libraries

all-in-one-neural-composition

PyTorch code for our paper "Resource-Adaptive Federated Learning with All-In-One Neural Composition" (NeurIPS2022)

awesome-6d-object

Awesome work on object 6 DoF pose estimation and 3D reconstruction

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-java

A curated list of awesome frameworks, libraries and software for the Java programming language.

basicsr

Basic Super-Resolution codes for development. Includes ESRGAN, SFT-GAN for training and testing.

clojure

The Clojure programming language

coclr

[NeurIPS'20] Self-supervised Co-Training for Video Representation Learning. Tengda Han, Weidi Xie, Andrew Zisserman.

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

dpod

Official PyTorch implementation of ICCV 2019 paper "DPOD: 6D Pose Object Detector and Refiner"

drrn-pytorch

Pytorch implementation of Deep Recursive Residual Network for Super Resolution (DRRN), CVPR 2017

flownet2-pytorch

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

fr-srgan

Class Final Project for MIT 6.819 Advances in Computer Vision

fullstack

grading-toolbox-for-machine-learning

graphicalgorithm

:octopus: :octopus:图形学论文实现

harukiyqm

harukiyqm.github.io

holo-web

image_based_relighting_framework

Framework that implements three image-based relighting algorithms.

indigo

:ramen: Minimalist Jekyll Template

javascript_

keras-resnet

Residual networks implementation using Keras-1.0 functional API

lightpt

models

Models and examples built with TensorFlow

modernsr

Extending EDSR-PyTorch codebase with distributed data parallel

non-local-sparse-attention

PyTorch code for our paper "Image Super-Resolution with Non-Local Sparse Attention" (CVPR2021).