Physically Based Rendering

Overview

Physically based rendering studies how light travels through a scene and interacts with surfaces and participating materials to create an image. Forward methods use rendering equations, BRDFs, ray tracing, and spectral or polarization models, while inverse rendering estimates geometry, materials, and lighting from images. Neural methods, Gaussian representations, and differentiable renderers increasingly combine learned priors with explicit physical models for faster reconstruction and relighting. A central challenge is balancing physical consistency and editable scene properties with speed, sparse observations, and the complexity of effects such as indirect light, reflection, and translucency.

Latest papers

CardsList

41 papers8 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

  1. ART-MPG: Autoregressive R/T Manifold Path Guiding

    Oct 21, 2026Zehao Zhao, Yanyang Yang, Xiaole Zhang +1Physically Based RenderingImportance Sampling

  2. MicroSDF: Microfacet-Driven Hybrid Neural SDFs for Mixed-Reflectance Surface Reconstruction

    Oct 14, 2026Lejia Ye, Yuhua Xu, Yulan Guo +23D ReconstructionImplicit Neural Representations

  3. Gaussian Splatting with Reflections Guided by What is Seen

    Oct 9, 2026Yiming Liang, Tianyu Xiao, Hiroshi IshikawaNeural RenderingNovel View Synthesis

  4. IntrinSync: Joint Intrinsic Decomposition and Reciprocal Rendering

    Oct 8, 2026Zheng Gu, Rui Huang, Xilu Zhang +6Inverse RenderingIntrinsic Image Decomposition

  5. A General Pipeline for Dense Illuminant Estimation via Physically Based Synthetic Data

    Oct 5, 2026Luca Cogo, Gianmarco Corti, Simone Bianco +1Synthetic Data PretrainingComputational Imaging

  6. MatLoom: Layered Text-to-Material Generation in a Compact Program Space

    Sep 30, 2026Anson Y. Lam, Shuqing Li, Michael R. Lyu3D Asset GenerationLLM-Based Program Synthesis

  7. Learning from synthetic photorealistic raindrop for single image raindrop removal

    Sep 29, 2026Zhixiang Hao, Shaodi You, Yu Li +2Synthetic Data AugmentationPhysically Based Rendering

  8. Physically Based Rendering in the Latent Space

    Sep 17, 2026Vuk Radovanovic, Vishesh Gupta, Adrien Gruson +1Physically Based RenderingPhysics-Informed Generative Modeling

  9. A Hybrid Neural-Microfacet BRDF Model for Real-Time Rendering

    Aug 10, 2026Louis De Oliveira, Anastasia Karpova, Georges Nader +4Neural RenderingPhysically Based Rendering

  10. Bridging Online and Offline Handwriting via Differentiable Physical Rendering

    Aug 4, 2026Seonmi Park, Seunghyun Shin, Vihaan Misra +4Differentiable RenderingImage Generation

  11. Inter-Reflective Gaussian Splatting for Robust and Efficient Inverse Rendering

    Jul 24, 2026Chun Gu, Xiaofei Wei, Zixuan Zeng +2Inverse Rendering3D Gaussian Splatting

  12. LightCrafter: PBR-Conditioned Video Diffusion Refinement for Controllable and Consistent Relighting

    Jul 9, 2026Zixin Guo, Yehonathan Litman, Yifeng He +3Physical Consistency in Video GenerationVideo Diffusion Models

  13. InvSplat: Inverse Feed-Forward Scene Splatting

    Jul 2, 2026Polina Karpikova, Wenjing Bian, Haofei Xu +2Inverse Rendering3D Gaussian Splatting

  14. Diffusion-Based Material Regularization for Physics-Based Inverse Rendering

    Jun 30, 2026Jingwang Ling, Lifan Wu, Feng Xu +1Inverse RenderingDiffusion-Based Inverse Problems

  15. RenderFormer++: Scalable and Physically Grounded Feed-Forward Neural Rendering

    Jun 29, 2026Huangsheng Du, Haoran Zhu, Youcheng Cai +2Neural RenderingEfficient ViTs

  16. DR-GS: Physically-Based Deformable and Relightable 2D Gaussians

    Jun 28, 2026Jiaxin Li, Tong Wu, Yi Wei +2Inverse Rendering3D Gaussian Splatting

  17. The Power of Light: Improving Synthetic-to-Real Domain Adaptation through Physically-Based Indirect Illumination

    Jun 21, 2026Hooman Tavakoli Ghinani, Tatjana Legler, Martin RuskowskiSynthetic-to-Real Domain AdaptationIndustrial Automation

  18. BRDFusion: Physics Meets Generation for Urban Scene Inverse Rendering

    Jun 15, 2026Yi-Ruei Liu, Jie-Ying Lee, Zheng-Hui Huang +2Inverse RenderingPhysical Consistency in Video Generation

  19. HAFMat: Hybrid Priors Guided Adaptive Fusion for Single-Image Human Material Estimation

    Jun 15, 2026Yu Jiang, Jiahao Xia, Jiongming Qin +2Inverse RenderingPhysically Based Rendering

  20. PureLight: Learning Complex Luminaires with Light Tracing

    Jun 3, 2026Pedro Figueiredo, Zixuan Li, Beibei Wang +2Neural RenderingPhysically Based Rendering

  21. 3DSS: 3D Surface Splatting for Inverse Rendering

    May 7, 2026Mae Younes, Adnane BoukhaymaInverse RenderingDifferentiable Rendering

  22. Rendering-Aware Sparse Sampling for BRDF Acquisition

    Apr 29, 2026W. Cao, D. Jönsson, Z. Huang +1Active LearningPhysically Based Rendering

  23. 8DNA: 8D Neural Asset Light Transport by Distribution Learning

    Apr 28, 2026Liwen Wu, Haolin Lu, Bing Xu +2Neural RenderingPhysically Based Rendering

  24. SSD-GS: Scattering and Shadow Decomposition for Relightable 3D Gaussian Splatting

    Apr 14, 2026Iris Zheng, Guojun Tang, Alexander Doronin +2Image RelightingPhysically Based Rendering

  25. Fast Voxelization and Level of Detail for Microgeometry Rendering

    Apr 14, 2026Javier Fabre, Carlos Castillo, Carlos Rodriguez-Pardo +1Physically Based Rendering

  26. Neural Dynamic GI: Random-Access Neural Compression for Temporal Lightmaps in Dynamic Lighting Environments

    Apr 14, 2026Jianhui Wu, Jian Zhou, Zhi Zhou +2Physically Based RenderingNeural Rendering

  27. Real-time Neural Six-way Lightmaps

    Apr 4, 2026Wei Li, Hanxiao Sun, Tao Huang +4Neural RenderingPhysically Based Rendering

  28. RT-GS: Gaussian Splatting with Reflection and Transmittance Primitives

    Apr 1, 2026Kunnong Zeng, Chensheng Peng, Yichen Xie +2Differentiable Ray Tracing3D Gaussian Splatting