A Theory of Joint Light and Heat Transport for Lambertian Scenes
Mani Ramanagopal, Sriram Narayanan, Aswin C. Sankaranarayanan, Srinivasa G. Narasimhan
Abstract
We present a novel theory that establishes the relation-ship between light transport in visible and thermal infrared, and heat transport in solids. We show that heat generated due to light absorption can be estimated by modeling heat transport using a thermal camera. For situations where heat conduction is negligible, we analytically solve the heat transport equation to derive a simple expression relating the change in thermal image intensity to the absorbed light intensity and heat capacity of the material. Next, we prove that intrinsic image decomposition for Lambertian scenes becomes a well-posed problem if one has access to the ab-sorbed light. Our theory generalizes to arbitrary shapes and unstructured illumination. Our theory is based on ap-plying energy conservation principle at each pixel indepen-dently. We validate our theory using real-world experi-ments on diffuse objects made of different materials that ex-hibit both direct and global components (inter-reflections) of light transport under unknown complex lighting.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 68edfa36-d2d7-4821-a9b9-772e4663e80bCited by top-tier papers5
- Ouroboros: Single-Step Diffusion Models for Cycle-Consistent Forward and Inverse RenderingShanlin Sun, Yifan Wang, Hanwen Zhang, Yifeng Xiong et al.ICCV 2025 · 3 citations
- Dual Band Thermal Videography: Separating Time-Varying Reflection and Emission Near Ambient ConditionsSriram Narayanan, Mani Ramanagopal, Srinivasa G. NarasimhanCVPR 2026 · 1 citation
- VT-Intrinsic: Physics-Based Decomposition of Reflectance and Shading using a Single Visible-Thermal Image PairZeqing Leo Yuan, Mani Ramanagopal, Aswin C. Sankaranarayanan, Srinivasa G. NarasimhanCVPR 2026
- Thermal Polarimetric Multi-View StereoTakahiro Kushida, Kenichiro TanakaICCV 2025
- Learning to See Inside Opaque Liquid Containers Using Speckle VibrometryMatan Kichler, Shai Bagon, Mark SheininICCV 2025
Builds on2
- Visible-Thermal UAV Tracking: A Large-Scale Benchmark and New BaselinePengyu Zhang, Jie Zhao, Dong Wang, Huchuan Lu et al.CVPR 2022 · 225 citations
- Thermal Spread Functions (TSF): Physics-Guided Material ClassificationAniket Dashpute, Vishwanath Saragadam, Emma Alexander, Florian Willomitzer et al.CVPR 2023
Related papers
- Non-Local Intrinsic Decomposition With Near-Infrared PriorsZiang Cheng, Yinqiang Zheng, Shaodi You, Imari SatoICCV 2019 · 33 citations
- Unsupervised Intrinsic Image Decomposition with LiDAR IntensityShogo Sato, Yasuhiro Yao, Taiga Yoshida, Takuhiro Kaneko et al.CVPR 2023
- Unsupervised Learning for Intrinsic Image Decomposition From a Single ImageYunfei Liu, Yu Li, Shaodi You, Feng LuCVPR 2020
- Intrinsic Image Diffusion for Indoor Single-view Material EstimationPeter Kocsis, Vincent Sitzmann, Matthias NießnerCVPR 2024
- Shape from Thermal Radiation: Passive Ranging Using Multi-spectral LWIR MeasurementsYasuto Nagase, Takahiro Kushida, Kenichiro Tanaka, Takuya Funatomi et al.CVPR 2022 · 12 citations
