image-super-resolution VS video2x

Compare image-super-resolution vs video2x and see what are their differences.

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image-super-resolution video2x
19 108
4,493 8,630
1.5% -
0.0 5.5
about 2 months ago 1 day ago
Python Python
Apache License 2.0 GNU Affero General Public License v3.0
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.

image-super-resolution

Posts with mentions or reviews of image-super-resolution. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-15.

video2x

Posts with mentions or reviews of video2x. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-31.

What are some alternatives?

When comparing image-super-resolution and video2x you can also consider the following projects:

SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)

waifu2x - Image Super-Resolution for Anime-Style Art

VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.

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.

DeepCreamPy - Decensoring Hentai with Deep Neural Networks

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

flowframes - Flowframes Windows GUI for video interpolation using DAIN (NCNN) or RIFE (CUDA/NCNN)

MAX-Image-Resolution-Enhancer - Upscale an image by a factor of 4, while generating photo-realistic details.

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

fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:

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