Year: 2024
Type: conference-paper
Abstract: shapes, motions, and garment types not present in the training data.We demonstrate significant improvements over state-of-the-art alternatives, particularly in enhancing the quality of high-frequency, fine-grained wrinkle details.Code and data is released in https://github.com/MengZephyr/Neural-
Source: SIGGRAPH Asia Conference Papers
Authors: Meng Zhang, Jun Li
Institution: Nanjing University of Science and Technology
Language: English
Subfield: Computational Mechanics
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4404965530
