mlsanityData to 7 Oct 2026

Rendering Synthetic Objects into Legacy Photographs

arXiv 1912.11565 ↗First posted 24 Dec 2019cs.GRcited by 72

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Abstract (arXiv)

We propose a method to realistically insert synthetic objects into existing photographs without requiring access to the scene or any additional scene measurements. With a single image and a small amount of annotation, our method creates a physical model of the scene that is suitable for realistically rendering synthetic objects with diffuse, specular, and even glowing materials while accounting for lighting interactions between the objects and the scene. We demonstrate in a user study that synthetic images produced by our method are confusable with real scenes, even for people who believe they are good at telling the difference. Further, our study shows that our method is competitive with other insertion methods while requiring less scene information. We also collected new illumination and reflectance datasets; renderings produced by our system compare well to ground truth. Our system has applications in the movie and gaming industry, as well as home decorating and user content creation, among others.

Key facts. Cited by 72 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 Dec 2019.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 18; 2022: 12; 2023: 19; 2024: 11; 2025: 8; 2026: 4.

72 papers.

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  1. 2021Learning Object-Compositional Neural Radiance Field for Editable Scene Renderingcited by 228
  2. 2022NeuMesh: Learning Disentangled Neural Mesh-based Implicit Field for Geometry and Texture Editingcited by 141
  3. 2021NeRF for Outdoor Scene Relightingcited by 114
  4. 2021GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Drivingcited by 75
  5. 2025PhysGen3D: Crafting a Miniature Interactive World from a Single Imagecited by 65
  6. 2021Making Images Real Again: A Comprehensive Survey on Deep Image Compositioncited by 63
  7. 2023DiffusionLight: Light Probes for Free by Painting a Chrome Ballcited by 63
  8. 2022Physically-Based Editing of Indoor Scene Lighting from a Single Imagecited by 62
  9. 2022StyleLight: HDR Panorama Generation for Lighting Estimation and Editingcited by 59
  10. 2024SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and Morecited by 58
  11. 2023SAM Fails to Segment Anything? -- SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, Medical Image Segmentation, and Morecited by 53
  12. 2021Self-supervised Outdoor Scene Relightingcited by 48
38 more
  1. 2022ObjectStitch: Generative Object Compositingcited by 36
  2. 2021CTRL-C: Camera calibration TRansformer with Line-Classificationcited by 33
  3. 2022OutCast: Outdoor Single-image Relighting with Cast Shadowscited by 30
  4. 2021GMLight: Lighting Estimation via Geometric Distribution Approximationcited by 28
  5. 2021Image Compositing for Segmentation of Surgical Tools without Manual Annotationscited by 23
  6. 2021Triple-cooperative Video Shadow Detectioncited by 22
  7. 2022PhotoScene: Photorealistic Material and Lighting Transfer for Indoor Scenescited by 22
  8. 2023Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting Estimationcited by 22
  9. 2023Dynamic Mesh-Aware Radiance Fieldscited by 21
  10. 2024Thinking Outside the BBox: Unconstrained Generative Object Compositingcited by 19
  11. 2021Sparse Needlets for Lighting Estimation with Spherical Transport Losscited by 18
  12. 2024Objects With Lighting: A Real-World Dataset for Evaluating Reconstruction and Rendering for Object Relightingcited by 18
  13. 2024Latent Intrinsics Emerge from Training to Relightcited by 17
  14. 2024ZeroComp: Zero-shot Object Compositing from Image Intrinsics via Diffusioncited by 16
  15. 20233D-aware Blending with Generative NeRFscited by 13
  16. 2023Cross-domain Compositing with Pretrained Diffusion Modelscited by 13
  17. 2024Customizing Text-to-Image Diffusion with Object Viewpoint Controlcited by 13
  18. 2021Deep Feedback Inverse Problem Solvercited by 11
  19. 2021Deep Image-based Illumination Harmonizationcited by 11
  20. 2023SDDNet: Style-guided Dual-layer Disentanglement Network for Shadow Detectioncited by 11
  21. 2023Intrinsic Harmonization for Illumination-Aware Compositingcited by 11
  22. 2025DiffusionLight-Turbo: Accelerated Light Probes for Free via Single-Pass Chrome Ball Inpaintingcited by 11
  23. 2023AssetField: Assets Mining and Reconfiguration in Ground Feature Plane Representationcited by 10
  24. 2021Fine-Context Shadow Detection using Shadow Removalcited by 9
  25. 2022Learning Shadow Correspondence for Video Shadow Detectioncited by 9
  26. 2023Conditional 360-degree Image Synthesis for Immersive Indoor Scene Decorationcited by 9
  27. 2025Multitwine: Multi-Object Compositing with Text and Layout Controlcited by 9
  28. 2025GCC: Generative Color Constancy via Diffusing a Color Checkercited by 8
  29. 2023Lasagna: Layered Score Distillation for Disentangled Object Relightingcited by 7
  30. 2025SAM3-Adapter: Efficient Adaptation of Segment Anything 3 for Camouflage Object Segmentation, Shadow Detection, and Medical Image Segmentationcited by 7
  31. 2021Repopulating Street Scenescited by 6
  32. 2022Deep Graph Learning for Spatially-Varying Indoor Lighting Predictioncited by 6
  33. 2021SAC-GAN: Structure-Aware Image Compositioncited by 5
  34. 2023Virtual Home Staging: Inverse Rendering and Editing an Indoor Panorama under Natural Illuminationcited by 5
  35. 2024SwinShadow: Shifted Window for Ambiguous Adjacent Shadow Detectioncited by 4
  36. 2022Designing An Illumination-Aware Network for Deep Image Relightingcited by 3
  37. 2023Learning Physical-Spatio-Temporal Features for Video Shadow Removalcited by 3
  38. 2023Local-to-Global Panorama Inpainting for Locale-Aware Indoor Lighting Predictioncited by 3

50 most cited of 72 All 72 (JSON)