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BEGIN:VEVENT
DTSTAMP:20260417T190159Z
LOCATION:West Building\, Rooms 301-305
DTSTART;TZID=America/Los_Angeles:20250814T090000
DTEND;TZID=America/Los_Angeles:20250814T103000
UID:siggraph_SIGGRAPH 2025_sess129@linklings.com
SUMMARY:Beautiful Materials
DESCRIPTION:Beautiful Materials - Interactive Discussion\n\nAfter the summ
 ary presentations, attendees will participate in an interactive discussion
 . Outside the room will be a series of poster boards for authors to gather
  around with the audience. Authors are invited to bring any material relat
 ed to their paper that could instigate further conversation such...\n\n---
 ------------------\nPredicting Fabric Appearance Through Thread Scattering
  and Inversion\n\nThis paper presents a novel pipeline to digitize physica
 l threads and predict fabric appearance before fabricating cloth samples, 
 addressing a real need in the fashion industry. It enables designers to ma
 ke more informed material choices, thereby promoting sustainable productio
 n, reducing costs, and...\n\n\nMengqi Xia, Zhaoyang Zhang, Sumit Chaturved
 i, and Yutong Yi (Yale University); Rundong Wu (ByteDance Inc.); and Holly
  Rushmeier and Julie Dorsey (Yale University)\n---------------------\nA Fl
 uorescent Material Model for Non-Spectral Editing & Rendering\n\nWe introd
 uce a material model for diffuse fluorescence that is compatible with RGB 
 and spectral rendering. This models builds on an analytical integrable Gau
 ssian-based model of the spectral reradiation that is efficient enough to 
 permits real-time rendering and editing of such appearance.\n\n\nLaurent B
 elcour and Alban Fichet (Intel Labs) and Pascal Barla (Inria - LaBRI)\n---
 ------------------\nPosition-Normal Manifold for Efficient Glint Rendering
  on High-Resolution Normal Maps\n\nAccurate modeling of normal distributio
 n functions (NDF) over a high-resolution normal map enables intriguing gli
 nty appearance but is inefficient. We present a manifold-based glint formu
 lation, transferring the glint NDF computation to mesh intersections. This
  framework accelerates glint rendering,...\n\n\nLiwen Wu (University of Ca
 lifornia San Diego), Fujun Luan and Miloš Hašan (Adobe Research), and Ravi
  Ramamoorthi (University of California San Diego)\n---------------------\n
 MatCLIP: Light- and Shape-Insensitive Assignment of PBR Material Models\n\
 nMatCLIP assigns realistic PBR materials to 3D models using shape- and lig
 hting-invariant descriptors derived from images, including LDM outputs and
  photos. It outperforms prior methods by over 15%, enabling consistent mat
 erial predictions across varied geometry and lighting, with applications t
 o lar...\n\n\nMichael Birsak (King Abdullah University of Science and Tech
 nology (KAUST)), John Femiani (Miami University), and Biao Zhang and Peter
  Wonka (King Abdullah University of Science and Technology (KAUST))\n-----
 ----------------\nMaterialPicker: Multi-Modal DiT-Based Material Generatio
 n\n\nMaterialPicker is a multi-modal material generation model that create
 s high-quality material maps from images and/or text by fine-tuning a vide
 o diffusion model. It robustly extracts materials from real-world photos, 
 even with distortion or occlusion, enhancing fidelity, diversity, and effi
 ciency in...\n\n\nXiaohe Ma (State Key Lab of CAD&CG, Zhejiang University)
 ; Valentin Deschaintre, Milos Hasan, and Fujun Luan (Adobe Research); Kun 
 Zhou (State Key Lab of CAD&CG, Zhejiang University; ZJU-FaceUnity Joint La
 b of Intelligent Graphics); Hongzhi Wu (State Key Lab of CAD&CG, Zhejiang 
 University); and Yiwei Hu (Adobe Research)\n---------------------\nA Fully
 -statistical Wave Scattering Model for Heterogeneous Surfaces\n\nThis work
  presents a statistical wave-scattering model for surfaces with nanoscale 
 mixtures in geometry and material. It predicts average appearance (BRDF) a
 nd draws realistic speckles directly from surface statistics, without expl
 icit definitions. The proposed model demonstrates various application...\n
 \n\nZhengze Liu and Yuchi Huo (State Key Lab of CAD & CG, Zhejiang Univers
 ity); Yifan Peng (University of Hong Kong); and Rui Wang (State Key Lab of
  CAD & CG, Zhejiang University)\n\nInterest Area: Research & Education\n\n
 Recording: Livestreamed, Not Livestreamed, Recorded, Not Recorded\n\nRegis
 tration Category: Full Conference, Virtual Access, Thursday
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