10 papers
Real-Time Neural Hair Denoising
Chenghao Wu, Yuefan Shen, Tao Huang +3
We propose a lightweight real-time method for reconstructing strand-based hair G-Buffers from severely undersampled rasterized inputs. Our pipeline first applies neural spatial rec…
VideoNeuMat: Neural Material Extraction from Generative Video Models
Bowen Xue, Saeed Hadadan, Zheng Zeng +3
Creating photorealistic materials for 3D rendering requires exceptional artistic skill. Generative models for materials could help, but are currently limited by the lack of high-qu…
PBR-Inspired Controllable Diffusion for Image Generation
Bowen Xue, Giuseppe Claudio Guarnera, Shuang Zhao +1
Despite recent advances in text-to-image generation, controlling geometric layout and PBR material properties in synthesized scenes remains challenging. We present a pipeline that…
Physics-Guided Motion Loss for Video Generation Model
Bowen Xue, Giuseppe Claudio Guarnera, Shuang Zhao +1
Current video diffusion models generate visually compelling content but often violate basic laws of physics, producing subtle artifacts like rubber-sheet deformations and inconsist…
A Multi-scale Yarn Appearance Model with Fiber Details
Apoorv Khattar, Junqui Zhu, Emiliano Padovani +4
Rendering realistic cloth has always been a challenge due to its intricate structure. Cloth is made up of fibers, plies, and yarns, and previous curved-based models, while detailed…
Neural Appearance Model for Cloth Rendering
Guan Yu Soh, Zahra Montazeri
The realistic rendering of woven and knitted fabrics has posed significant challenges throughout many years. Previously, fiber-based micro-appearance models have achieved considera…