activity
20192026
most citedMechanics-Aware Modeling of Cloth Appearance

22 citations · 25 across the 13 of their papers we have counts for

collaborators

16 papers

cs.GR2026

From Sketch to Scene: Relightable Garment Reconstruction from Marked Sketches

Ahmet Neçirvan Doğan, Eren Acar Başaran, Metin Sezgin +1

Sketching is one of the most natural ways for people to express visual ideas. Unlike the text prompts that most generative systems rely on today, a sketch captures spatial structur…

cs.GR2026

Real-Time Neural Hair G-Buffer Anti-Aliasing

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…

cs.CV2026

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…

cs.CV2025

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…

cs.GR2025

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…

cs.GR2024★ 1 cited

ReflectanceFusion: Diffusion-based text to SVBRDF Generation

Bowen Xue, Giuseppe Claudio Guarnera, Shuang Zhao +1

We introduce Reflectance Diffusion, a new neural text-to-texture model capable of generating high-fidelity SVBRDF maps from textual descriptions. Our method leverages a tandem neur…

cs.GR2024

A Dynamic By-example BTF Synthesis Scheme

Zilin Xu, Zahra Montazeri, Beibei Wang +1

Measured Bidirectional Texture Function (BTF) can faithfully reproduce a realistic appearance but is costly to acquire and store due to its 6D nature (2D spatial and 4D angular). T…

cs.GR2024

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…

cs.GR2023

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…

physics.comp-ph2023

Optical Photon Simulation with Mitsuba3

Adam C. S. Davis, Sacha Barré, Yangyang Cui +4

Optical photon propagation is an embarrassingly parallel operation, well suited to acceleration on GPU devices. Rendering of images employs similar techniques -- for this reason, a…

cs.GR2023

A Hierarchical Architecture for Neural Materials

Bowen Xue, Shuang Zhao, Henrik Wann Jensen +1

Neural reflectance models are capable of reproducing the spatially-varying appearance of many real-world materials at different scales. Unfortunately, existing techniques such as N…

cs.GR2023★ 1 cited

Velocity-Based LOD Reduction in Virtual Reality: A Psychometric Approach

David Petrescu, Paul A. Warren, Zahra Montazeri +1

Virtual Reality headsets enable users to explore the environment by performing self-induced movements. The retinal velocity produced by such motion reduces the visual system's abil…

cs.GR2022★ 1 cited

Learning to Rasterize Differentiably

Chenghao Wu, Hamila Mailee, Zahra Montazeri +1

Differentiable rasterization changes the standard formulation of primitive rasterization -- by enabling gradient flow from a pixel to its underlying triangles -- using distribution…

cs.GR2021

A Practical Ply-Based Appearance Modeling for Knitted Fabrics

Zahra Montazeri, Soren Gammelmark, Henrik W. Jensen +1

Modeling the geometry and the appearance of knitted fabrics has been challenging due to their complex geometries and interactions with light. Previous surface-based models have dif…

cs.CV2019

Separating Overlapping Tissue Layers from Microscopy Images

Zahra Montazeri, Gopi M

Manual preparation of tissue slices for microscopy imaging can introduce tissue tears and overlaps. Typically, further digital processing algorithms such as registration and 3D rec…

cs.GR2019★ 22 cited

Mechanics-Aware Modeling of Cloth Appearance

Zahra Montazeri, Chang Xiao, Yun +3

Micro-appearance models have brought unprecedented fidelity and details to cloth rendering. Yet, these models neglect fabric mechanics: when a piece of cloth interacts with the env…