V2.0.1 faces look like wax museum

The “Others” images are upscaled using the latest AI upscaling algorithm called DiffBIR, developed by the Chinese Academy of Sciences and Shanghai AI Laboratory. They recently released their research paper in arXiv.

DiffBIR utilizes stable diffusion and controlnet to upscale images and regenerate realistic details, including hair, skin texture, clothing texture, text, trees leaves, grasses and more.

Based on my testing, their face recovery surpasses that of GPEN, GFPGAN, CodeFormer, and VQFR, providing more detailed and natural-looking results.

Here is an example from their website.


Few months ago, in the June Photo Roadmap,
Topaz’s CEO Eric has asked us opinion about using Generative AI to enhance image.

Within that topic, I have replied that

Now, It seem that DiffBIR has exactly done what I suggested. :yum:

However, Topaz seem to have decided to add option 2 “remove object” to TPAI V2.1 instead. :disappointed_relieved:
In my personal opinion, Topaz should focus on improve upscaling and image quality at first piority.
Remove Object can already be done extremely well by using open-source free software such as, Lama Cleaner.

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