activity
20242026
most citedDifFRelight: Diffusion-Based Facial Performance Relighting

16 citations · 16 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

BodyReLux: Temporally Consistent Full-Body Video Relighting

Li Ma, Mingming He, Xueming Yu +4

Being able to relight human performance is a fundamental task for post production and content creation. We present BodyReLux, a subject-specific video diffusion-based framework for…

cs.GR2025

Detail Enhanced Gaussian Splatting for Large-Scale Volumetric Capture

Julien Philip, Li Ma, Pascal Clausen +8

We present a unique system for large-scale, multi-performer, high resolution 4D volumetric capture providing realistic free-viewpoint video up to and including 4K resolution facial…

cs.CV2025

Virtually Being: Customizing Camera-Controllable Video Diffusion Models with Multi-View Performance Captures

Yuancheng Xu, Wenqi Xian, Li Ma +10

We introduce a framework that enables both multi-view character consistency and 3D camera control in video diffusion models through a novel customization data pipeline. We train th…

cs.GR2025

Lux Post Facto: Learning Portrait Performance Relighting with Conditional Video Diffusion and a Hybrid Dataset

Yiqun Mei, Mingming He, Li Ma +9

Video portrait relighting remains challenging because the results need to be both photorealistic and temporally stable. This typically requires a strong model design that can captu…

cs.CV2024

Fitting Spherical Gaussians to Dynamic HDRI Sequences

Pascal Clausen, Li Ma, Mingming He +3

We present a technique for fitting high dynamic range illumination (HDRI) sequences using anisotropic spherical Gaussians (ASGs) while preserving temporal consistency in the compre…

cs.CV2024★ 16 cited

DifFRelight: Diffusion-Based Facial Performance Relighting

Mingming He, Pascal Clausen, Ahmet Levent Taşel +8

We present a novel framework for free-viewpoint facial performance relighting using diffusion-based image-to-image translation. Leveraging a subject-specific dataset containing div…