dandere2x VS FidelityFX-CLI

Compare dandere2x vs FidelityFX-CLI and see what are their differences.

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dandere2x FidelityFX-CLI
30 13
1,403 201
- 0.0%
0.0 0.0
9 months ago over 2 years ago
C++ C
GNU General Public License v3.0 only MIT License
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.

dandere2x

Posts with mentions or reviews of dandere2x. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-10.

FidelityFX-CLI

Posts with mentions or reviews of FidelityFX-CLI. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-21.

What are some alternatives?

When comparing dandere2x and FidelityFX-CLI you can also consider the following projects:

TecoGAN - This repo contains source code and materials for the TEmporally COherent GAN SIGGRAPH project.

waifu2x - Image Super-Resolution for Anime-Style Art

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

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.

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

FidelityFX-FSR - FidelityFX Super Resolution

ESRGAN - ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

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