ESRGAN VS traiNNer

Compare ESRGAN vs traiNNer and see what are their differences.

ESRGAN

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR. (by xinntao)

traiNNer

traiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing. (by victorca25)
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ESRGAN traiNNer
21 4
5,707 275
- -
0.0 0.0
over 1 year ago over 1 year ago
Python Python
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

ESRGAN

Posts with mentions or reviews of ESRGAN. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-29.

traiNNer

Posts with mentions or reviews of traiNNer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-28.
  • Unable to run stable diffusion locally
    1 project | /r/StableDiffusion | 7 Jun 2023
    git clone https://github.com/victorca25/traiNNer.git
  • Upscaling video to 1080p...
    1 project | /r/linuxquestions | 7 Mar 2022
  • Anime ESRGAN superresolution upscaler, trained by JoeyBallentine
    2 projects | /r/AnimeResearch | 28 May 2021
    Models like NMKD's mentioned 4x_NMKD-YandereNeoXL_200k were trained using this repo: https://github.com/victorca25/BasicSR , which is constantly being updated with new techniques and options.
  • Ed, Edd N Eddy: Definitive Edition
    2 projects | /r/ededdneddy | 7 May 2021
    Updates: 05/07/2021: First of all, another HUGE shoutout to CG1989 who has actually been doing all the legwork processing for Season 1 as I am currently stuck up on upscaling the movie (screenshots coming soon). MEGA Links will be provided for each season as they are finished if allowed by the subreddit (noticed there have been other upscale projects here with link so I would assume that's not a problem). Also the screenshots here are actually from our release contrary to what it was made to be believe. Credit to victorca and ptrsuder for improving upon the original basicSR, as well as Honh for providing these wonderful tools making the training and accessible usage of our models possible https://github.com/victorca25/BasicSR https://github.com/ptrsuder/IEU.Winforms/releases/tag/0.11.0

What are some alternatives?

When comparing ESRGAN and traiNNer you can also consider the following projects:

Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

realsr-ncnn-vulkan - RealSR super resolution implemented with ncnn library

Real-ESRGAN-colab - A Real-ESRGAN model trained on a custom dataset

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

video2x - A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley II, 2018.

IEU.Winforms - Windows only GUI for ESRGAN with additional features

waifu2x-ncnn-vulkan - waifu2x converter ncnn version, runs fast on intel / amd / nvidia / apple-silicon GPU with vulkan

ESRGAN - A modified version of the original ESRGAN test.py script with added features

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

PaddleGAN - PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.