The paper introduces a geometry‑driven shadow harmonisation pipeline for composited faces that preserves albedo by applying a per‑pixel gain field derived from a rasterised 3D face proxy. The method estimates key‑light direction from host cues, computes surface normals and cast shadows, and applies a controlled, monotonic darkening operation that never alters chromaticity or identity. Experiments on analytic face heightfields show that the default parameters modify over half the face pixels while maintaining hue invariance and avoiding repainting the donor face.
By Vijesh KP
The study audits four image aesthetic scorers—LAION-Aesthetics, PickScore, ImageReward, and HPSv2—using pixel‑level interventions on skin tone and body type in both synthetic and real images. It finds that most scorers exhibit a fidelity preference: unaltered images receive the highest scores, while perturbations in either direction are penalized in an inverted‑U pattern, and this effect is largely independent of the skin operator. Synthetic‑only audits are misleading, as the apparent preference for darker skin in synthetic faces reverses or weakens when evaluated on real faces, and cross‑scorer results vary widely, underscoring the need for real‑data, within‑image causal isolation to accurately assess demographic bias.
By Mingyang Xu
arXiv:2609.24819v1 Announce Type: cross
Abstract: Mesopic and low-light display transforms require, as their driving signal, a per-pixel scotopic-to-photopic luminance ratio (S/P); the exact spectral...
By Naoyuki Uchida
arXiv:2606. 01443v1 Announce Type: cross Abstract: A central difficulty in training Joint-Embedding Predictive Architectures (JEPAs) is preventing representation collapse.
By Triet M. Le
arXiv:2609.18302v1 Announce Type: new
Abstract: RAW-to-sRGB image signal processing (ISP) must recover perceptually faithful colors and fine details from sensor measurements, often under imperfect sp...
By Tailai Chen, Xiaotong Luo, Yuan Gao, Xin Jin, Wenjun Zeng
arXiv:2607. 15995v1 Announce Type: cross Abstract: Deep remote photoplethysmography (rPPG) attains sub-bpm heart-rate error on frontal, stationary faces yet degrades sharply under head pose: on MMPD, the state-of-the-art FactorizePhys backbone's MAE grows $1.
By Hui Wei, Seyedata Jodeiri Seyedian, Xiaobai Li, Guoying Zhao