SwinIR VS Real-ESRGAN-ncnn-vulkan

Compare SwinIR vs Real-ESRGAN-ncnn-vulkan and see what are their differences.

Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
SwinIR Real-ESRGAN-ncnn-vulkan
27 38
4,082 1,346
- -
0.0 0.0
25 days ago 5 months ago
Python C
Apache License 2.0 GNU General Public License v3.0 or later
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.

SwinIR

Posts with mentions or reviews of SwinIR. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-17.

Real-ESRGAN-ncnn-vulkan

Posts with mentions or reviews of Real-ESRGAN-ncnn-vulkan. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-07.

What are some alternatives?

When comparing SwinIR and Real-ESRGAN-ncnn-vulkan 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

image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

cupscale - Image Upscaling GUI based on ESRGAN

Ne2Ne-Image-Denoising - Deep Unsupervised Image Denoising, based on Neighbour2Neighbour training

Real-ESRGAN-Video-Batch-Process - Upscale any number of videos using this colab notebook!

chaiNNer - A node-based image processing GUI aimed at making chaining image processing tasks easy and customizable. Born as an AI upscaling application, chaiNNer has grown into an extremely flexible and powerful programmatic image processing application.

CodeFormer - [NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer

MPRNet - [CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.

Anime4K - A High-Quality Real Time Upscaler for Anime Video

LaTeX-OCR - pix2tex: Using a ViT to convert images of equations into LaTeX code.

chaiNNer - A flowchart/node-based image processing GUI aimed at making chaining image processing tasks (especially upscaling done by neural networks) easy, intuitive, and customizable. [Moved to: https://github.com/chaiNNer-org/chaiNNer]