daitao

CVPR2024-Papers-with-Code

CVPR 2024 论文和开源项目合集

deeplearning-models

A collection of various deep learning architectures, models, and tips

DeepLearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

awesome-ml-for-cybersecurity

:octocat: Machine Learning for Cyber Security

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

awesome-point-cloud-analysis

A list of papers and datasets about point cloud analysis (processing)

awesome-knowledge-distillation

Awesome Knowledge Distillation

Diffusion-Models-Papers-Survey-Taxonomy

Diffusion model papers, survey, and taxonomy

Awesome-Knowledge-Distillation

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

Awesome-Super-Resolution

Collect super-resolution related papers, data, repositories

privacy

Library for training machine learning models with privacy for training data

Awesome-Image-Inpainting

A curated list of image inpainting and video inpainting papers and resources

Knowledge-Distillation-Zoo

Pytorch implementation of various Knowledge Distillation (KD) methods.

awesome-point-cloud-analysis-2023

A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!

liif

Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)

awesome-image-registration

image registration related books, papers, videos, and toolboxes

USRNet

Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)

Awesome-CVPR2024-CVPR2021-CVPR2020-Low-Level-Vision

A Collection of Papers and Codes for CVPR2024/CVPR2021/CVPR2020 Low Level Vision

Image-Harmonization-Dataset-iHarmony4

[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 image harmonization, image composition, etc.

Reproducible-Deep-Compressive-Sensing

Collection of reproducible deep learning for compressive sensing

Embedded-Neural-Network

collection of works aiming at reducing model sizes or the ASIC/FPGA accelerator for machine learning

DCTNet

DRN

Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

cutblur

Rethinking Data Augmentation for Image Super-resolution (CVPR 2020)

Awesome-Super-Resolution

A curated list of awesome super-resolution resources.

PU-Net

PU-Net: Point Cloud Upsampling Network, CVPR, 2018 (https://arxiv.org/abs/1801.06761)

proxTV

Matlab and Python toolbox for fast Total Variation proximity operators

robust_representations

Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"

CaFM-Pytorch-ICCV2021

iccv2021-paper3163

GP-DIP

Code for A Bayesian Perspective on the Deep Image Prior (CVPR 2019)