DR-GAN: Automatic Radial Distortion Rectification Using Conditional GAN in Real-Time

Related tags

Deep Learning DR-GAN
Overview

DR-GAN: Automatic Radial Distortion Rectification Using Conditional GAN in Real-Time

Introduction

This is official implementation for DR-GAN (IEEE TCSVT'20)

You might also like...
FuseDream: Training-Free Text-to-Image Generationwith Improved CLIP+GAN Space OptimizationFuseDream: Training-Free Text-to-Image Generationwith Improved CLIP+GAN Space Optimization
FuseDream: Training-Free Text-to-Image Generationwith Improved CLIP+GAN Space OptimizationFuseDream: Training-Free Text-to-Image Generationwith Improved CLIP+GAN Space Optimization

FuseDream This repo contains code for our paper (paper link): FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN Space Optimizat

PyTorch implementation of
PyTorch implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".

pix2pix-pytorch PyTorch implementation of Image-to-Image Translation Using Conditional Adversarial Networks. Based on pix2pix by Phillip Isola et al.

Pytorch implementation of the paper "Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization"

Pytorch implementation of the paper "Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization"

Official code of
Official code of "R2RNet: Low-light Image Enhancement via Real-low to Real-normal Network."

R2RNet Official code of "R2RNet: Low-light Image Enhancement via Real-low to Real-normal Network." Jiang Hai, Zhu Xuan, Ren Yang, Yutong Hao, Fengzhu

Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data

Real-ESRGAN Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data Ported from https://github.com/xinntao/Real-ESRGAN Depend

Real-CUGAN - Real Cascade U-Nets for Anime Image Super Resolution

Real Cascade U-Nets for Anime Image Super Resolution ไธญๆ–‡ | English ๐Ÿ”ฅ Real-CUGAN

 MatryODShka: Real-time 6DoF Video View Synthesis using Multi-Sphere Images
MatryODShka: Real-time 6DoF Video View Synthesis using Multi-Sphere Images

Main repo for ECCV 2020 paper MatryODShka: Real-time 6DoF Video View Synthesis using Multi-Sphere Images. visual.cs.brown.edu/matryodshka

Demo project for real time anomaly detection using kafka and python
Demo project for real time anomaly detection using kafka and python

kafkaml-anomaly-detection Project for real time anomaly detection using kafka and python It's assumed that zookeeper and kafka are running in the loca

This is the unofficial code of  Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes. which achieve state-of-the-art trade-off between accuracy and speed on cityscapes and camvid, without using inference acceleration and extra data
Comments
  • outcome problem in test.py with your model.

    outcome problem in test.py with your model.

    0

    This is the test.py outcome in DR-GAN/datasets/pre. Please tell me the mistake i have made during run your code, thank you very much! I think it is my mistake , but i cant find the way to deal with it. Please help me ,thank you.

    opened by dobbleheart 5
  • h5py

    h5py

    File "h5py_objects.pyx", line 54, in h5py._objects.with_phil.wrapper File "h5py_objects.pyx", line 55, in h5py._objects.with_phil.wrapper File "h5py\h5f.pyx", line 96, in h5py.h5f.open OSError: Unable to open file (unable to open file: name = './DR-GAN-main/weights/generator.h5', errno = 2, error message = 'No such file or directory', flags = 0, o_flags = 0) ๆ‚จๅฅฝ๏ผŒๆˆ‘ๆ˜ฏๅˆšๅญฆไน ่ฟ™ๆ–น้ข็š„ๅญฆ็”Ÿ๏ผŒ่ฏท้—ฎ่ฟ™ๆ˜ฏไป€ไนˆๅŽŸๅ› ๏ผŒ่ฏฅๅฆ‚ไฝ•่งฃๅ†ณ๏ผŒๆ˜ฏๆˆ‘้…็ฝฎ็š„ๅŽŸ้ข˜ๅ—๏ผŸ

    opened by jht19981019 1
Owner
Kang Liao
Kang Liao
Project page of the paper 'Analyzing Perception-Distortion Tradeoff using Enhanced Perceptual Super-resolution Network' (ECCVW 2018)

EPSR (Enhanced Perceptual Super-resolution Network) paper This repo provides the test code, pretrained models, and results on benchmark datasets of ou

Subeesh Vasu 78 Nov 19, 2022
Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"

CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows WACV 2022 preprint:https://arxiv.org/abs/2107.1

Denis 156 Dec 28, 2022
Real-Time-Student-Attendence-System - Real Time Student Attendence System

Real-Time-Student-Attendence-System The Student Attendance Management System Pro

Rounak Das 1 Feb 15, 2022
PyTorch 1.5 implementation for paper DECOR-GAN: 3D Shape Detailization by Conditional Refinement.

DECOR-GAN PyTorch 1.5 implementation for paper DECOR-GAN: 3D Shape Detailization by Conditional Refinement, Zhiqin Chen, Vladimir G. Kim, Matthew Fish

Zhiqin Chen 72 Dec 31, 2022
Official implementation of the paper Chunked Autoregressive GAN for Conditional Waveform Synthesis

Chunked Autoregressive GAN (CARGAN) Official implementation of the paper Chunked Autoregressive GAN for Conditional Waveform Synthesis [paper] [compan

Descript 150 Dec 6, 2022
Official pytorch code for SSC-GAN: Semi-Supervised Single-Stage Controllable GANs for Conditional Fine-Grained Image Generation(ICCV 2021)

SSC-GAN_repo Pytorch implementation for 'Semi-Supervised Single-Stage Controllable GANs for Conditional Fine-Grained Image Generation'.PDF SSC-GAN:Sem

tyty 4 Aug 28, 2022
PyTorch implementation for OCT-GAN Neural ODE-based Conditional Tabular GANs (WWW 2021)

OCT-GAN: Neural ODE-based Conditional Tabular GANs (OCT-GAN) Code for reproducing the experiments in the paper: Jayoung Kim*, Jinsung Jeon*, Jaehoon L

BigDyL 7 Dec 27, 2022
Stitch it in Time: GAN-Based Facial Editing of Real Videos

STIT - Stitch it in Time [Project Page] Stitch it in Time: GAN-Based Facial Edit

null 1.1k Jan 4, 2023
Automatic self-diagnosis program (python required)Automatic self-diagnosis program (python required)

auto-self-checker ์ž๋™์œผ๋กœ ์ž๊ฐ€์ง„๋‹จ ํ•ด์ฃผ๋Š” ํ”„๋กœ๊ทธ๋žจ(python ํ•„์š”) ์ค‘์š” ์ด ํ”„๋กœ๊ทธ๋žจ์ด ์‹คํ–‰๋ ๋•Œ์—๋Š” ์ ˆ๋Œ€๋กœ ๋งˆ์šฐ์Šคํฌ์ธํ„ฐ๋ฅผ ์›€์ง์ด๊ฑฐ๋‚˜ ํ‚ค๋ณด๋“œ๋ฅผ ๊ฑด๋“œ๋ฆฌ๋ฉด ์•ˆ๋œ๋‹ค(ํ™”๋ฉด์ธ์‹, ๋งˆ์šฐ์Šคํฌ์ธํ„ฐ๋กœ ์ง์ ‘ ํด๋ฆญ) ์‚ฌ์šฉ๋ฒ• ํ”„๋กœ๊ทธ๋žจ์„ ๊ตฌ๋™ํ•  ํด๋” ๋‚ด์˜ cmd์ฐฝ์—์„œ pip

null 1 Dec 30, 2021
TCNN Temporal convolutional neural network for real-time speech enhancement in the time domain

TCNN Pandey A, Wang D L. TCNN: Temporal convolutional neural network for real-time speech enhancement in the time domain[C]//ICASSP 2019-2019 IEEE Int

ๅ‡Œ้€†ๆˆ˜ 16 Dec 30, 2022