mlsanityData to 7 Oct 2026

ORCa: Glossy Objects as Radiance Field Cameras

arXiv 2212.04531 ↗First posted 8 Dec 2022cs.CV cs.AIcited by 20

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Abstract (arXiv)

Reflections on glossy objects contain valuable and hidden information about the surrounding environment. By converting these objects into cameras, we can unlock exciting applications, including imaging beyond the camera's field-of-view and from seemingly impossible vantage points, e.g. from reflections on the human eye. However, this task is challenging because reflections depend jointly on object geometry, material properties, the 3D environment, and the observer viewing direction. Our approach converts glossy objects with unknown geometry into radiance-field cameras to image the world from the object's perspective. Our key insight is to convert the object surface into a virtual sensor that captures cast reflections as a 2D projection of the 5D environment radiance field visible to the object. We show that recovering the environment radiance fields enables depth and radiance estimation from the object to its surroundings in addition to beyond field-of-view novel-view synthesis, i.e. rendering of novel views that are only directly-visible to the glossy object present in the scene, but not the observer. Moreover, using the radiance field we can image around occluders caused by close-by objects in the scene. Our method is trained end-to-end on multi-view images of the object and jointly estimates object geometry, diffuse radiance, and the 5D environment radiance field.

Key facts. Cited by 20 papers in the map (data through 7 Oct 2026). Builds on 25 of its 50 references that are in the map. First posted on arXiv 8 Dec 2022.

Builds on

25 of 50 references.

References · 25

  1. 2021Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fieldscited by 2,013
  2. 2021Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fieldscited by 1,957
  3. 2021NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstructioncited by 1,701
  4. 2021Volume Rendering of Neural Implicit Surfacescited by 990
  5. 2021UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstructioncited by 643
  6. 2021Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fieldscited by 569
  7. 2020NeRD: Neural Reflectance Decomposition from Image Collectionscited by 446
  8. 2021Extracting Triangular 3D Models, Materials, and Lighting From Imagescited by 363
  9. 2021PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relightingcited by 332
  10. 2021Light Field Networks: Neural Scene Representations with Single-Evaluation Renderingcited by 330
  11. 2021Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decompositioncited by 204
  12. 2019Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF from a Single Imagecited by 202
13 more
  1. 2021NeRFactor: Neural Factorization of Shape and Reflectance Under an Unknown Illuminationcited by 135
  2. 2021NeRFReN: Neural Radiance Fields with Reflectionscited by 121
  3. 2021Learning Indoor Inverse Rendering with 3D Spatially-Varying Lightingcited by 82
  4. 2019Fast Spatially-Varying Indoor Lighting Estimationcited by 72
  5. 2020Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illuminationcited by 62
  6. 2022IRISformer: Dense Vision Transformers for Single-Image Inverse Rendering in Indoor Scenescited by 62
  7. 2019Neural Illumination: Lighting Prediction for Indoor Environmentscited by 57
  8. 2022PANDORA: Polarization-Aided Neural Decomposition Of Radiancecited by 52
  9. 2022Exploring Differential Geometry in Neural Implicitscited by 26
  10. 2020Seeing the World in a Bag of Chipscited by 25
  11. 2016What Is Around The Camera?cited by 10
  12. 2021MirrorNeRF: One-shot Neural Portrait Radiance Field from Multi-mirror Catadioptric Imagingcited by 9
  13. 2022Detection and Mapping of Specular Surfaces Using Multibounce Lidar Returnscited by 4

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 1; 2023: 11; 2024: 2; 2025: 5; 2026: 1.

20 papers.

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  1. 2023NeRO: Neural Geometry and BRDF Reconstruction of Reflective Objects from Multiview Imagescited by 163
  2. 2023ENVIDR: Implicit Differentiable Renderer with Neural Environment Lightingcited by 63
  3. 2023CG3D: Compositional Generation for Text-to-3D via Gaussian Splattingcited by 42
  4. 2023SpecNeRF: Gaussian Directional Encoding for Specular Reflectionscited by 30
  5. 2023NeISF: Neural Incident Stokes Field for Geometry and Material Estimationcited by 25
  6. 2023NeRRF: 3D Reconstruction and View Synthesis for Transparent and Specular Objects with Neural Refractive-Reflective Fieldscited by 16
  7. 2025Neural Radiance Fields for the Real World: A Surveycited by 12
  8. 2023SUNDIAL: 3D Satellite Understanding through Direct, Ambient, and Complex Lighting Decompositioncited by 9
  9. 20233D Motion Magnification: Visualizing Subtle Motions with Time Varying Radiance Fieldscited by 7
  10. 2023Role of Transients in Two-Bounce Non-Line-of-Sight Imagingcited by 5
  11. 2023Seeing the World through Your Eyescited by 5
  12. 2025Geometric implicit neural representations for signed distance functionscited by 4
8 more
  1. 2022Physics-based Indirect Illumination for Inverse Renderingcited by 3
  2. 20243D Imaging of Complex Specular Surfaces by Fusing Polarimetric and Deflectometric Informationcited by 3
  3. 2023Event-based Motion-Robust Accurate Shape Estimation for Mixed Reflectance Scenescited by 2
  4. 2024PIR: Photometric Inverse Rendering with Shading Cues Modeling and Surface Reflectance Regularizationcited by 2
  5. 2025Can NeRFs See without Cameras?cited by 2
  6. 2025RefRef: A Dataset and Benchmark for Reconstructing Refractive and Reflective Objectscited by 1
  7. 2025Shoot-Bounce-3D: Single-Shot Occlusion-Aware 3D from Lidar by Decomposing Two-Bounce Lightcited by 1
  8. 2026Reflection-aware Generative Novel View Synthesiscited by 0