Miloš Hašan

milos dot hasan at gmail dot com

I am a Principal Scientist at the NVIDIA Research Real-Time Graphics Group, which I joined in July 2025. I focus on rendering, inverse rendering and neural rendering. A common topic in my research is material appearance, including neural and procedural materials, material generation and capture. My more recent work studies relightable neural 3D assets, and builds on generative image/video diffusion models to decompose and synthesize images, materials, scenes and other assets key to 3D graphics. Before joining NVIDIA, I was a Principal Scientist at Adobe Research. I received my PhD from Cornell University.

Selected publications

	MaterialPicker: Multi-Modal DiT-Based Material Generation Xiaohe Ma, Valentin Deschaintre, Miloš Hašan, Fujun Luan, Kun Zhou, Hongzhi Wu, Yiwei Hu SIGGRAPH 2025 [project] [PDF]
	Generative Neural Materials Nithin Raghavan, Krishna Mullia, Alexander Trevithick, Fujun Luan, Miloš Hašan, Ravi Ramamoorthi SIGGRAPH 2025 [project] [PDF]
	IntrinsicEdit: Precise Generative Image Manipulation in Intrinsic Space Linjie Lyu, Valentin Deschaintre, Yannick Hold-Geoffroy, Miloš Hašan, Jae Shin Yoon, Thomas Leimkuehler, Christian Theobalt, Iliyan Georgiev SIGGRAPH 2025 [project] [PDF]
	Fast and Uncertainty-Aware SVBRDF Recovery from Multi-View Capture using Frequency Domain Analysis Ruben Wiersma, Julien Philip, Miloš Hašan, Krishna Mullia, Fujun Luan, Elmar Eisemann, Valentin Deschaintre SIGGRAPH 2025 [arXiv] [PDF]
	Stochastic Ray Tracing of Transparent 3D Gaussians Xin Sun, Iliyan Georgiev, Raymond Fei, Miloš Hašan EGSR 2025 [arXiv] [PDF]
	RNG: Relightable Neural Gaussians Jiahui Fan, Fujun Luan, Jian Yang, Miloš Hašan, Beibei Wang CVPR 2025 [project] [PDF]
	RNA: Relightable Neural Assets Krishna Mullia, Fujun Luan, Xin Sun, Miloš Hašan ACM Transactions on Graphics 2024 [project] [PDF]
	RelitLRM: Generative Relightable Radiance for Large Reconstruction Models Tianyuan Zhang, Zhengfei Kuang, Haian Jin, Zexiang Xu, Sai Bi, Hao Tan, He Zhang, Yiwei Hu, Miloš Hašan, William T. Freeman, Kai Zhang, Fujun Luan ICLR 2025 [project] [PDF]
	Buffer Anytime: Zero-Shot Video Depth and Normal from Image Priors Zhengfei Kuang, Tianyuan Zhang, Kai Zhang, Hao Tan, Sai Bi, Yiwei Hu, Zexiang Xu, Miloš Hašan, Gordon Wetzstein, Fujun Luan CVPR 2025 [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]