Physics-Based Inverse Rendering using Combined Implicit and Explicit Geometries
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Abstract (arXiv)
Mathematically representing the shape of an object is a key ingredient for solving inverse rendering problems. Explicit representations like meshes are efficient to render in a differentiable fashion but have difficulties handling topology changes. Implicit representations like signed-distance functions, on the other hand, offer better support of topology changes but are much more difficult to use for physics-based differentiable rendering. We introduce a new physics-based inverse rendering pipeline that uses both implicit and explicit representations. Our technique enjoys the benefit of both representations by supporting both topology changes and differentiable rendering of complex effects such as environmental illumination, soft shadows, and interreflection. We demonstrate the effectiveness of our technique using several synthetic and real examples.
Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 May 2022.
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Citing papers per year: 2023: 7; 2024: 4; 2025: 3.
14 papers.
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- 2023GIR: 3D Gaussian Inverse Rendering for Relightable Scene Factorizationcited by 86
- 2023Stanford-ORB: A Real-World 3D Object Inverse Rendering Benchmarkcited by 51
- 2024TextureDreamer: Image-guided Texture Synthesis through Geometry-aware Diffusioncited by 51
- 2023Neural-PBIR Reconstruction of Shape, Material, and Illuminationcited by 45
- 2023Relighting Neural Radiance Fields with Shadow and Highlight Hintscited by 41
- 2025Digital Twin Catalog: A Large-Scale Photorealistic 3D Object Digital Twin Datasetcited by 29
- 20243D Reconstruction with Fast Dipole Sumscited by 12
- 2023Differentiable Point-based Inverse Renderingcited by 7
- 2024A Simple Approach to Differentiable Rendering of SDFscited by 7
- 2025DPCS: Path Tracing-Based Differentiable Projector-Camera Systemscited by 4
- 2023Detachable Novel Views Synthesis of Dynamic Scenes Using Distribution-Driven Neural Radiance Fieldscited by 3
- 2024PBIR-NIE: Glossy Object Capture under Non-Distant Lightingcited by 3
2 more
- 2023RNA: Relightable Neural Assetscited by 2
- 2025Automated design of compound lenses with discrete-continuous optimizationcited by 0
- 2025Automated design of compound lenses with discrete-continuous optimization28 Sep 2025
- 2025Digital Twin Catalog: A Large-Scale Photorealistic 3D Object Digital Twin Dataset11 Apr 2025
- 2025DPCS: Path Tracing-Based Differentiable Projector-Camera Systems15 Mar 2025
- 2024PBIR-NIE: Glossy Object Capture under Non-Distant Lighting13 Aug 2024
- 20243D Reconstruction with Fast Dipole Sums27 May 2024
- 2024A Simple Approach to Differentiable Rendering of SDFs14 May 2024
- 2024TextureDreamer: Image-guided Texture Synthesis through Geometry-aware Diffusion17 Jan 2024
- 2023RNA: Relightable Neural Assets14 Dec 2023
- 2023GIR: 3D Gaussian Inverse Rendering for Relightable Scene Factorization8 Dec 2023
- 2023Differentiable Point-based Inverse Rendering5 Dec 2023
- 2023Stanford-ORB: A Real-World 3D Object Inverse Rendering Benchmark24 Oct 2023
- 2023Relighting Neural Radiance Fields with Shadow and Highlight Hints25 Aug 2023
- 2023GIR: 3D Gaussian Inverse Rendering for Relightable Scene Factorizationcited by 86
- 2023Stanford-ORB: A Real-World 3D Object Inverse Rendering Benchmarkcited by 51
- 2024TextureDreamer: Image-guided Texture Synthesis through Geometry-aware Diffusioncited by 51
- 2023Neural-PBIR Reconstruction of Shape, Material, and Illuminationcited by 45
- 2023Relighting Neural Radiance Fields with Shadow and Highlight Hintscited by 41
- 2025Digital Twin Catalog: A Large-Scale Photorealistic 3D Object Digital Twin Datasetcited by 29
- 20243D Reconstruction with Fast Dipole Sumscited by 12
- 2023Differentiable Point-based Inverse Renderingcited by 7
- 2024A Simple Approach to Differentiable Rendering of SDFscited by 7
- 2025DPCS: Path Tracing-Based Differentiable Projector-Camera Systemscited by 4
- 2023Detachable Novel Views Synthesis of Dynamic Scenes Using Distribution-Driven Neural Radiance Fieldscited by 3
- 2024PBIR-NIE: Glossy Object Capture under Non-Distant Lightingcited by 3
12 most cited of 14 All 14 (JSON)
- 2025Automated design of compound lenses with discrete-continuous optimization28 Sep 2025
- 2025Digital Twin Catalog: A Large-Scale Photorealistic 3D Object Digital Twin Dataset11 Apr 2025
- 2025DPCS: Path Tracing-Based Differentiable Projector-Camera Systems15 Mar 2025
- 2024PBIR-NIE: Glossy Object Capture under Non-Distant Lighting13 Aug 2024
- 20243D Reconstruction with Fast Dipole Sums27 May 2024
- 2024A Simple Approach to Differentiable Rendering of SDFs14 May 2024
- 2024TextureDreamer: Image-guided Texture Synthesis through Geometry-aware Diffusion17 Jan 2024
- 2023RNA: Relightable Neural Assets14 Dec 2023
- 2023GIR: 3D Gaussian Inverse Rendering for Relightable Scene Factorization8 Dec 2023
- 2023Differentiable Point-based Inverse Rendering5 Dec 2023
- 2023Stanford-ORB: A Real-World 3D Object Inverse Rendering Benchmark24 Oct 2023
- 2023Relighting Neural Radiance Fields with Shadow and Highlight Hints25 Aug 2023
12 newest of 14 All 14 (JSON)