# Controllable and Gradual Facial Blemishes Retouching via Physics-Based Modelling

arXiv: https://arxiv.org/abs/2406.13227 · HTML: https://mlsanity.com/paper/2406.13227/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 3 of its 26 references that are in the map.
- First posted on arXiv 19 Jun 2024.

## Builds on (most cited first, 3 of 3)

- [High-Resolution Image Synthesis with Latent Diffusion Models](https://mlsanity.com/paper/2112.10752/) (2021)
- [Automatic Facial Skin Feature Detection for Everyone](https://mlsanity.com/paper/2203.16056/) (2022)
- [Evaluating the Efficacy of Skincare Product: A Realistic Short-Term Facial Pore Simulation](https://mlsanity.com/paper/2302.11950/) (2023)

## Built on by (most cited first, 1 of 1)

- [AI-driven Remote Facial Skin Hydration and TEWL Assessment from Selfie Images: A Systematic Solution](https://mlsanity.com/paper/2509.06282/) (2025)

## Abstract (arXiv)

Face retouching aims to remove facial blemishes, such as pigmentation and acne, and still retain fine-grain texture details. Nevertheless, existing methods just remove the blemishes but focus little on realism of the intermediate process, limiting their use more to beautifying facial images on social media rather than being effective tools for simulating changes in facial pigmentation and ance. Motivated by this limitation, we propose our Controllable and Gradual Face Retouching (CGFR). Our CGFR is based on physical modelling, adopting Sum-of-Gaussians to approximate skin subsurface scattering in a decomposed melanin and haemoglobin color space. Our CGFR offers a user-friendly control over the facial blemishes, achieving realistic and gradual blemishes retouching. Experimental results based on actual clinical data shows that CGFR can realistically simulate the blemishes' gradual recovering process.