mlsanityData to 14 Oct 2026

High-Quality Facial Albedo Generation for 3D Face Reconstruction from a Single Image using a Coarse-to-Fine Approach

arXiv 2506.13233 ↗First posted 16 Jun 2025cs.CVcited by 2

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Abstract (arXiv)

Facial texture generation is crucial for high-fidelity 3D face reconstruction from a single image. However, existing methods struggle to generate UV albedo maps with high-frequency details. To address this challenge, we propose a novel end-to-end coarse-to-fine approach for UV albedo map generation. Our method first utilizes a UV Albedo Parametric Model (UVAPM), driven by low-dimensional coefficients, to generate coarse albedo maps with skin tones and low-frequency texture details. To capture high-frequency details, we train a detail generator using a decoupled albedo map dataset, producing high-resolution albedo maps. Extensive experiments demonstrate that our method can generate high-fidelity textures from a single image, outperforming existing methods in terms of texture quality and realism. The code and pre-trained model are publicly available at https://github.com/MVIC-DAI/UVAPM, facilitating reproducibility and further research.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 42 of its 72 references that are in the map. First posted on arXiv 16 Jun 2025.

Builds on

42 of 72 references.

References · 42

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30 more
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Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 2.

2 papers.

  1. 2026Monocular Avatar Reconstruction via Cascaded Diffusion Priors and UV-Space Differentiable Shadingcited by 1
  2. 2026TOPOS: High-Fidelity and Efficient Industry-Grade 3D Head Generationcited by 0