mlsanityData to 7 Oct 2026

Animated 3DGS Avatars in Diverse Scenes with Consistent Lighting and Shadows

arXiv 2601.01660 ↗First posted 4 Jan 2026cs.CVcited by 0

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Abstract (arXiv)

We present a method for consistent lighting and shadows when animated 3D Gaussian Splatting (3DGS) avatars interact with 3DGS scenes or with dynamic objects inserted into otherwise static scenes. Our key contribution is Deep Gaussian Shadow Maps (DGSM), a modern analogue of the classical shadow mapping algorithm tailored to the volumetric 3DGS representation. Building on the classic deep shadow mapping idea, we show that 3DGS admits closed form light accumulation along light rays, enabling volumetric shadow computation without meshing. For each estimated light, we tabulate transmittance over concentric radial shells and store them in octahedral atlases, which modern GPUs can sample in real time per query to attenuate affected scene Gaussians and thus cast and receive shadows consistently. To relight moving avatars, we approximate the local environment illumination with HDRI probes represented in a spherical harmonic (SH) basis and apply a fast per Gaussian radiance transfer, avoiding explicit BRDF estimation or offline optimization. We demonstrate environment consistent lighting for avatars from AvatarX and ActorsHQ, composited into ScanNet++, DL3DV, and SuperSplat scenes, and show interactions with inserted objects. Across single and multi avatar settings, DGSM and SH relighting operate fully in the volumetric 3DGS representation, yielding coherent shadows and relighting while avoiding meshing.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 89 of its 117 references that are in the map. First posted on arXiv 4 Jan 2026.

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89 of 117 references.

References · 89

  1. 2020Denoising Diffusion Probabilistic Modelscited by 20,851
  2. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  3. 2020Denoising Diffusion Implicit Modelscited by 9,655
  4. 2020Score-Based Generative Modeling through Stochastic Differential Equationscited by 8,964
  5. 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,141
  6. 2022Instant Neural Graphics Primitives with a Multiresolution Hash Encodingcited by 3,698
  7. 2019DeepSDF: Learning Continuous Signed Distance Functions for Shape Representationcited by 2,682
  8. 2018Occupancy Networks: Learning 3D Reconstruction in Function Spacecited by 2,037
  9. 2021Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fieldscited by 2,013
  10. 2019Expressive Body Capture: 3D Hands, Face, and Body from a Single Imagecited by 1,600
  11. 2019AMASS: Archive of Motion Capture as Surface Shapescited by 1,208
  12. 20234D Gaussian Splatting for Real-Time Dynamic Scene Renderingcited by 1,144
38 more
  1. 20242D Gaussian Splatting for Geometrically Accurate Radiance Fieldscited by 1,061
  2. 2017End-to-end Recovery of Human Shape and Posecited by 883
  3. 2023ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenescited by 747
  4. 2023Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesiscited by 731
  5. 2016Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Imagecited by 692
  6. 2023Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fieldscited by 667
  7. 2023SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Renderingcited by 611
  8. 2023Nerfstudio: A Modular Framework for Neural Radiance Field Developmentcited by 596
  9. 2021Neural Fields in Visual Computing and Beyondcited by 539
  10. 2020PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitizationcited by 521
  11. 2023DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Visioncited by 514
  12. 2022HumanNeRF: Free-viewpoint Rendering of Moving People from Monocular Videocited by 483
  13. 2020GRAB: A Dataset of Whole-Body Human Grasping of Objectscited by 397
  14. 2023SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAMcited by 386
  15. 2021Animatable Neural Radiance Fields for Modeling Dynamic Human Bodiescited by 361
  16. 2023Spacetime Gaussian Feature Splatting for Real-Time Dynamic View Synthesiscited by 341
  17. 2019Resolving 3D Human Pose Ambiguities with 3D Scene Constraintscited by 294
  18. 2021BABEL: Bodies, Action and Behavior with English Labelscited by 261
  19. 2020ARCH: Animatable Reconstruction of Clothed Humanscited by 257
  20. 2022BEHAVE: Dataset and Method for Tracking Human Object Interactionscited by 246
  21. 2022NeuMan: Neural Human Radiance Field from a Single Videocited by 244
  22. 2018Video Based Reconstruction of 3D People Modelscited by 237
  23. 2021SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapescited by 221
  24. 2023GS-IR: 3D Gaussian Splatting for Inverse Renderingcited by 220
  25. 2021Stochastic Scene-Aware Motion Predictioncited by 203
  26. 20233DGS-Avatar: Animatable Avatars via Deformable 3D Gaussian Splattingcited by 195
  27. 2021ARCH++: Animation-Ready Clothed Human Reconstruction Revisitedcited by 174
  28. 2022TAVA: Template-free Animatable Volumetric Actorscited by 172
  29. 2019Learning to Reconstruct People in Clothing from a Single RGB Cameracited by 168
  30. 2023TensoIR: Tensorial Inverse Renderingcited by 166
  31. 2020Populating 3D Scenes by Learning Human-Scene Interactioncited by 164
  32. 2022Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoisingcited by 163
  33. 2023HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motioncited by 161
  34. 2021H-NeRF: Neural Radiance Fields for Rendering and Temporal Reconstruction of Humans in Motioncited by 157
  35. 2023HUGS: Human Gaussian Splatscited by 154
  36. 2019Single Image Portrait Relightingcited by 152
  37. 2020Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wildcited by 152
  38. 2019NASA: Neural Articulated Shape Approximationcited by 149

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