Real-ESRGAN VS GFPGAN

Compare Real-ESRGAN vs GFPGAN and see what are their differences.

Real-ESRGAN

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration. (by xinntao)

GFPGAN

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration. (by TencentARC)
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Real-ESRGAN GFPGAN
131 95
30,065 36,430
2.3% 0.5%
1.9 1.9
8 months ago 8 months ago
Python Python
BSD 3-clause "New" or "Revised" License 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.

Real-ESRGAN

Posts with mentions or reviews of Real-ESRGAN. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-24.

GFPGAN

Posts with mentions or reviews of GFPGAN. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-08-10.

What are some alternatives?

When comparing Real-ESRGAN and GFPGAN you can also consider the following projects:

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

GPEN

waifu2x - Image Super-Resolution for Anime-Style Art

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

BSRGAN - Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!

DFDNet - Blind Face Restoration via Deep Multi-scale Component Dictionaries (ECCV 2020)

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