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cs.CV2025

MaterialPicker: Multi-Modal DiT-Based Material Generation

Xiaohe Ma, Valentin Deschaintre, Miloš Hašan +4

High-quality material generation is key for virtual environment authoring and inverse rendering. We propose MaterialPicker, a multi-modal material generator leveraging a Diffusion…

cs.CV2025

Perm: A Parametric Representation for Multi-Style 3D Hair Modeling

Chengan He, Xin Sun, Zhixin Shu +8

We present Perm, a learned parametric representation of human 3D hair designed to facilitate various hair-related applications. Unlike previous work that jointly models the global…

cs.CV2025

Uncertainty for SVBRDF Acquisition using Frequency Analysis

Ruben Wiersma, Julien Philip, Miloš Hašan +4

This paper aims to quantify uncertainty for SVBRDF acquisition in multi-view captures. Under uncontrolled illumination and unstructured viewpoints, there is no guarantee that the o…

cs.CV2025

RNG: Relightable Neural Gaussians

Jiahui Fan, Fujun Luan, Jian Yang +2

3D Gaussian Splatting (3DGS) has shown impressive results for the novel view synthesis task, where lighting is assumed to be fixed. However, creating relightable 3D assets, especia…

cs.CV2024

Buffer Anytime: Zero-Shot Video Depth and Normal from Image Priors

Zhengfei Kuang, Tianyuan Zhang, Kai Zhang +7

We present Buffer Anytime, a framework for estimation of depth and normal maps (which we call geometric buffers) from video that eliminates the need for paired video--depth and vid…

cs.CV2024

RelitLRM: Generative Relightable Radiance for Large Reconstruction Models

Tianyuan Zhang, Zhengfei Kuang, Haian Jin +9

We propose RelitLRM, a Large Reconstruction Model (LRM) for generating high-quality Gaussian splatting representations of 3D objects under novel illuminations from sparse (4-8) pos…