265 Open source projects that are alternatives of or similar to Zooming Slow Mo Cvpr 2020

VDSR (CVPR2016) pytorch implementation

The official pytorch implemention of the CVPR paper "Temporal Modulation Network for Controllable Space-Time Video Super-Resolution".

TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution, CVPR 2020

Tensorflow implementation of pixel-recursive-super-resolution(Google Brain paper: https://arxiv.org/abs/1702.00783)

A Collection of Papers and Codes for ICCV2021 Low Level Vision and Image Generation

SO-Net: Self-Organizing Network for Point Cloud Analysis, CVPR2018

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

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Reference code for the paper HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (CVPR 2021).

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

Official TensorFlow code for paper "Multi-Image Super Resolution of Remotely Sensed Images Using Residual Attention Deep Neural Networks".

TOFlow: Video Enhancement with Task-Oriented Flow

CVPR 2021 论文和开源项目合集

A modern PyTorch implementation of SRGAN

A Python implementation of RAISR

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

Repository for Google Summer of Code 2019 https://summerofcode.withgoogle.com/projects/#4662790671826944

DeMoN: Depth and Motion Network

Repository for Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction (CVPR2019)

[CVPR2020] f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation https://arxiv.org/abs/2001.10331

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

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

The project is the official implementation of our CVPR 2021 paper, "Restoring Extremely Dark Images in Real Time"

(CVPR 2021 Oral) Open World Object Detection

[CVPR 2020 VL3] The repository for meta fine-tuning in cross-domain few-shot learning.

Image Super-Resolution for Anime-Style Art

All image quality metrics you need in one package.

Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3

Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction

Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

Pytorch implementation of Structure-Preserving Super Resolution with Gradient Guidance (CVPR 2020)

Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)

A Caffe-based implementation of very deep convolution network for image super-resolution

Torch code for our CVPR 2018 paper "Residual Dense Network for Image Super-Resolution" (Spotlight)

A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley 2, 2018.

A deep neural network for face alignment

Exploiting Saliency for Object Segmentation from Image Level Labels, CVPR'17

Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, SRMD, RealSR, Anime4K, RIFE, CAIN, DAIN, and ACNet.

[CVPR2020] Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification

Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"

traiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.

Real-World Super-Resolution via Kernel Estimation and Noise Injection

SwinIR: Image Restoration Using Swin Transformer (official repository)

[CVPR19] FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation from a Single Image

TensorFlow code for ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018) (Matlab)

This repository contains all the papers accepted in top conference of computer vision, with convenience to search related papers.

CVPR 论文收集，包含但不限于2021、2020、2019、2018、2017文章

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

Code for "Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views" in CVPR'19

A Real-ESRGAN model trained on a custom dataset

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

Weakly Supervised Instance Segmentation using Class Peak Response, in CVPR 2018 (Spotlight)

CV 论文笔记

Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch

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

The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)

Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution