Miloš Hašan

milos dot hasan at gmail dot com

I am currently a Senior Research Scientist at Adobe Research in San Jose. Before joining Adobe, I was Principal Engineer at Autodesk in San Francisco (2012-2018), a postdoc at UC Berkeley (2010-2012, advised by Ravi Ramamoorthi), and a postdoc at Harvard University (2009-2010, with Hanspeter Pfister). I received my Ph.D. in Computer Science from Cornell in August 2009, under the supervision of Kavita Bala. I am interested in computer graphics and many related topics.

Selected publications

RNA: Relightable Neural Assets
Krishna Mullia, Fujun Luan, Xin Sun, Miloš Hašan
ACM Transactions on Graphics 2024 [project] [PDF]
Neural Product Importance Sampling via Warp Composition
Joey Litalien, Miloš Hašan, Fujun Luan, Krishna Mullia, Iliyan Georgiev
SIGGRAPH Asia 2024 [project] [PDF]
Procedural Material Generation with Reinforcement Learning
Beichen Li, Yiwei Hu, Paul Guerrero, Miloš Hašan, Liang Shi, Valentin Deschaintre, Wojciech Matusik
SIGGRAPH Asia 2024 [project]
RGB↔X: Image Decomposition and Synthesis Using Material- and Lighting-aware Diffusion Models
Zheng Zeng, Valentin Deschaintre, Iliyan Georgiev, Yannick Hold-Geoffroy, Yiwei Hu, Fujun Luan, Ling-Qi Yan, Miloš Hašan
SIGGRAPH 2024 [project] [PDF]
TexSliders: Diffusion-Based Texture Editing in CLIP Space
Julia Guerrero-Viu, Miloš Hašan, Arthur Roullier, Midhun Harikumar, Yiwei Hu, Paul Guerrero, Diego Gutierrez, Belen Masia, Valentin Deschaintre
SIGGRAPH 2024 [project] [PDF]
Woven Fabric Capture with a Reflection-Transmission Photo Pair
Yingjie Tang, Zixuan Li, Miloš Hašan, Jian Yang, Beibei Wang
SIGGRAPH 2024 [project] [PDF]
Precomputed Dynamic Appearance Synthesis and Rendering
Yaoyi Bai, Miloš Hašan, Ling-Qi Yan
EGSR 2024 [PDF]
MCNeRF: Monte Carlo Rendering and Denoising for Real-Time NeRFs
Kunal Gupta, Miloš Hašan, Zexiang Xu, Fujun Luan, Kalyan Sunkavalli, Xin Sun, Manmohan Chandraker, Sai Bi
SIGGRAPH Asia 2023 [project] [PDF] [video]
PSDR-Room: Single Photo to Scene using Differentiable Rendering
Kai Yan, Fujun Luan, Miloš Hašan, Thibault Groueix, Valentin Deschaintre, and Shuang Zhao
SIGGRAPH Asia 2023 [project] [PDF]
PhotoMat: A Material Generator Learned from Single Flash Photos
Xilong Zhou, Miloš Hašan, Valentin Deschaintre, Paul Guerrero, Yannick Hold-Geoffroy, Kalyan Sunkavalli, and Nima Khademi Kalantari
SIGGRAPH 2023 [project] [PDF] [video]
Generating Procedural Materials from Text or Image Prompts
Yiwei Hu, Paul Guerrero, Miloš Hašan, Holly Rushmeier, Valentin Deschaintre
SIGGRAPH 2023 [project] [PDF]
Neural Biplane Representation for BTF Rendering and Acquisition
Jiahui Fan, Beibei Wang, Miloš Hašan, Jian Yang, Ling-Qi Yan
SIGGRAPH 2023 [project] [PDF]
NeuSample: Importance Sampling for Neural Materials
Bing Xu, Liwen Wu, Miloš Hašan, Fujun Luan, Iliyan Georgiev, Zexiang Xu, Ravi Ramamoorthi
SIGGRAPH 2023 [project] [PDF] [arXiv] [video]
Controlling Material Appearance by Examples
Yiwei Hu, Miloš Hašan, Paul Guerrero, Holly Rushmeier, Valentin Deschaintre
EGSR 2022 [project] [PDF]
MatFormer: A Generative Model for Procedural Materials
Paul Guerrero, Miloš Hašan, Kalyan Sunkavalli, Radomír Měch, Tamy Boubekeur, Niloy Mitra
SIGGRAPH 2022 [project] [PDF]
Rendering Neural Materials on Curved Surfaces
Alexandr Kuznetsov, Xuezheng Wang, Krishna Mullia, Fujun Luan, Zexiang Xu, Miloš Hašan, Ravi Ramamoorthi
SIGGRAPH 2022 [project] [PDF] [video]
TileGen: Tileable, Controllable Material Generation and Capture
Xilong Zhou, Miloš Hašan, Valentin Deschaintre, Paul Guerrero, Kalyan Sunkavalli, Nima Kalantari
SIGGRAPH Asia 2022 [project] [PDF]
Node Graph Optimization Using Differentiable Proxies
Yiwei Hu, Paul Guerrero, Miloš Hašan, Holly Rushmeier, Valentin Deschaintre
SIGGRAPH 2022 [project] [PDF]
Differentiable Rendering of Neural SDFs through Reparameterization
Sai Praveen Bangaru, Michaël Gharbi, Tzu-Mao Li, Fujun Luan, Kalyan Sunkavalli, Miloš Hašan, Sai Bi, Zexiang Xu, Gilbert Bernstein, Frédo Durand
SIGGRAPH Asia 2022 [project] [PDF]
Neural Layered BRDFs
Jiahui Fan, Beibei Wang, Miloš Hašan, Jian Yang, Ling-Qi Yan
SIGGRAPH 2022 [project] [PDF] [video]
Woven Fabric Capture from a Single Photo
Wenhua Jin, Beibei Wang, Miloš Hašan, Yu Guo, Steve Marschner, Ling-Qi Yan
SIGGRAPH Asia 2022 [project] [PDF] [video]
PhotoScene: Photorealistic Material and Lighting Transfer for Indoor Scenes
Yu-Ying Yeh, Zhengqin Li, Yannick Hold-Geoffroy, Rui Zhu, Zexiang Xu, Miloš Hašan, Kalyan Sunkavalli, Manmohan Chandraker
CVPR 2022 [project] [arXiv] [video]
Physically-Based Editing of Indoor Scene Lighting from a Single Image
Zhengqin Li, Jia Shi, Sai Bi, Rui Zhu, Kalyan Sunkavalli, Miloš Hašan, Zexiang Xu, Ravi Ramamoorthi, Manmohan Chandraker
CVPR 2022 [project] [arXiv]
SpongeCake: A Layered Microflake Surface Appearance Model
Beibei Wang, Wenhua Jin, Miloš Hašan, Ling-Qi Yan
ACM Transactions on Graphics 2022 [project] [PDF]
NeuMIP: Multi-Resolution Neural Materials
Alexandr Kuznetsov, Krishna Mullia, Zexiang Xu, Miloš Hašan, Ravi Ramamoorthi
SIGGRAPH 2021 [project] [PDF] [video]
Neural Complex Luminaires: Representation and Rendering
Junqiu Zhu, Yaoyi Bai, Zilin Xu, Steve Bako, Edgar Velázquez-Armendáriz, Lu Wang, Pradeep Sen, Miloš Hašan, Ling-Qi Yan
SIGGRAPH 2021 [paper] [video]
OpenRooms: An Open Framework for Photorealistic Indoor Scene Datasets
Zhengqin Li, Ting-Wei Yu, Shen Sang, Sarah Wang, Meng Song, Yuhan Liu, Yu-Ying Yeh, Rui Zhu, Nitesh Gundavarapu, Jia Shi, Sai Bi, Zexiang Xu, Hong-Xing Yu, Kalyan Sunkavalli, Miloš Hašan, Ravi Ramamoorthi, Manmohan Chandraker
CVPR 2021 (Oral presentation) [project] [PDF] [video]
NeuTex: Neural Texture Mapping for Volumetric Neural Rendering
Fanbo Xiang, Zexiang Xu,Miloš Hašan, Yannick Hold-Geoffroy, Kalyan Sunkavalli, Hao Su
CVPR 2021 (Oral presentation) [project] [arXiv] [video]
MATch: Differentiable Material Graphs for Procedural Material Capture
Liang Shi, Beichen Li, Miloš Hašan, Kalyan Sunkavalli, Tamy Boubekeur, Radomír Měch, Wojciech Matusik
SIGGRAPH Asia 2020 [project] [PDF] [video]
MaterialGAN: Reflectance Capture using a Generative SVBRDF Model
Yu Guo, Cameron Smith, Miloš Hašan, Kalyan Sunkavalli, and Shuang Zhao
SIGGRAPH Asia 2020 [project] [PDF] [video]
A Bayesian Inference Framework for Procedural Material Parameter Estimation
Yu Guo, Miloš Hašan, Ling-Qi Yan, Shuang Zhao
Pacific Graphics 2020 (Computer Graphics Forum) [project] [PDF] [supplement]
Path Cuts: Efficient Rendering of Pure Specular Light Transport
Beibei Wang, Miloš Hašan, Ling-Qi Yan
SIGGRAPH Asia 2020 [PDF] [video]
Deep Reflectance Volumes: Relightable Reconstructions from Multi-View Photometric Images
Sai Bi, Zexiang Xu, Kalyan Sunkavalli, Miloš Hašan, Yannick Hold-Geoffroy, David Kriegman, Ravi Ramamoorthi
ECCV 2020 [arXiv] [PDF]
Neural Reflectance Fields for Appearance Acquisition
Sai Bi, Zexiang Xu, Pratul Srinivasan, Ben Mildenhall, Kalyan Sunkavalli, Miloš Hašan, Yannick Hold-Geoffroy, David Kriegman, Ravi Ramamoorthi
[arXiv] [PDF]
Example-Based Microstructure Rendering with Constant Storage
Beibei Wang, Miloš Hašan, Nicolas Holzschuch, Ling-Qi Yan
ACM Transactions on Graphics, 2020 [PDF] [video]
Learning Generative Models for Rendering Specular Microgeometry
Alexandr Kuznetsov, Miloš Hašan, Zexiang Xu, Ling-Qi Yan, Bruce Walter, Nima Khademi Kalantari, Steve Marschner, Ravi Ramamoorthi
SIGGRAPH Asia 2019 [PDF] [video]
Position-Free Monte Carlo Simulation for Arbitrary Layered BSDFs
Yu Guo, Miloš Hašan, Shuang Zhao
SIGGRAPH Asia 2018 [project] [PDF] [video] [code]

Rendering Specular Microgeometry with Wave Optics
Ling-Qi Yan, Miloš Hašan, Bruce Walter, Steve Marschner, Ravi Ramamoorthi
SIGGRAPH 2018 [PDF] [video] [supplementary]

Simulating the structure and texture of solid wood
Albert Liu, Zhao Dong, Miloš Hašan, Steve Marschner
SIGGRAPH Asia 2016 [PDF] [video] [supplementary]

Position-Normal Distributions for Efficient Rendering of Specular Microstructure
Ling-Qi Yan, Miloš Hašan, Steve Marschner, Ravi Ramamoorthi
SIGGRAPH 2016 [PDF] [video]

Rendering Glints on High-Resolution Normal-Mapped Specular Surfaces
Ling-Qi Yan*, Miloš Hašan*, Wenzel Jakob, Jason Lawrence, Steve Marschner, Ravi Ramamoorthi
(* dual first authors)
SIGGRAPH 2014 [PDF] [video] [supplementary]

Discrete Stochastic Microfacet Models
Wenzel Jakob, Miloš Hašan, Ling-Qi Yan, Jason Lawrence, Ravi Ramamoorthi, Steve Marschner
SIGGRAPH 2014 [PDF] [video] [project page]

Progressive Light Transport Simulation on the GPU: Survey and Improvements
Tomáš Davidovič, Jaroslav Křivánek, Miloš Hašan, Philipp Slusallek
ACM Transactions on Graphics, 2014 [PDF] [supplementary] [project page]

Modular Flux Transfer: Efficient Rendering of High-Resolution Volumes with Repeated Structures
Shuang Zhao, Miloš Hašan, Ravi Ramamoorthi, Kavita Bala
SIGGRAPH 2013 [PDF] [video] [project page]

Interactive Albedo Editing in Path-Traced Volumetric Materials
Miloš Hašan, Ravi Ramamoorthi
ACM Transactions on Graphics, 2013 [PDF] [video]

Combining Global and Local Virtual Lights for Detailed Glossy Illumination
Tomáš Davidovič, Jaroslav Křivánek, Miloš Hašan, Philipp Slusallek, Kavita Bala
SIGGRAPH Asia 2010 [PDF] [Supplemental PDF] [PPTX]

Physical Reproduction of Materials with Specified Subsurface Scattering
Miloš Hašan, Martin Fuchs, Wojciech Matusik, Hanspeter Pfister, Szymon Rusinkiewicz
SIGGRAPH 2010 [PDF] [slides]

Virtual Spherical Lights for Many-Light Rendering of Glossy Scenes
Miloš Hašan, Jaroslav Křivánek, Bruce Walter, Kavita Bala
SIGGRAPH Asia 2009 [PDF] [PPTX] [HLSL shader]

Automatic Bounding of Programmable Shaders for Efficient Global Illumination
Edgar Velázquez-Armendáriz, Shuang Zhao, Miloš Hašan, Bruce Walter, Kavita Bala
SIGGRAPH Asia 2009 [PDF]

Tensor Clustering for Rendering Many-Light Animations
Miloš Hašan, Edgar Velázquez-Armendáriz, Fabio Pellacini, Kavita Bala
EGSR 2008 [PDF] [PPT] [video] [comparison video] [diff video]

Matrix Row-Column Sampling for the Many-Light Problem
Miloš Hašan, Fabio Pellacini, Kavita Bala
SIGGRAPH 2007 [PDF] [PPT]

Direct-to-Indirect Transfer for Cinematic Relighting
Miloš Hašan, Fabio Pellacini, Kavita Bala
SIGGRAPH 2006 [PDF] [PPT] [video]

Ph.D. Thesis

Matrix Sampling for Global Illumination
Miloš Hašan (advised by Kavita Bala)
Cornell, August 2009

[link]