research-article

Neural Point Catacaustics for Novel-View Synthesis of Reflections

Authors:

Georgios Kopanas,

Thomas Leimkühler,

Clément Jambon,

George DrettakisAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 41, Issue 6

Article No.: 201, Pages 1 - 15

https://doi.org/10.1145/3550454.3555497

Published: 30 November 2022 Publication History

Abstract

View-dependent effects such as reflections pose a substantial challenge for image-based and neural rendering algorithms. Above all, curved reflectors are particularly hard, as they lead to highly non-linear reflection flows as the camera moves. We introduce a new point-based representation to compute Neural Point Catacaustics allowing novel-view synthesis of scenes with curved reflectors, from a set of casually-captured input photos. At the core of our method is a neural warp field that models catacaustic trajectories of reflections, so complex specular effects can be rendered using efficient point splatting in conjunction with a neural renderer. One of our key contributions is the explicit representation of reflections with a reflection point cloud which is displaced by the neural warp field, and a primary point cloud which is optimized to represent the rest of the scene. After a short manual annotation step, our approach allows interactive high-quality renderings of novel views with accurate reflection flow. Additionally, the explicit representation of reflection flow supports several forms of scene manipulation in captured scenes, such as reflection editing, cloning of specular objects, reflection tracking across views, and comfortable stereo viewing. We provide the source code and other supplemental material on https://repo-sam.inria.fr/fungraph/neural_catacaustics/

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Cited By

Jiang ZRahmani HBlack SWilliams B(2025)3D Points Splatting for real-time dynamic Hand ReconstructionPattern Recognition10.1016/j.patcog.2025.111426162(111426)Online publication date: Jun-2025
https://doi.org/10.1016/j.patcog.2025.111426
Du YZhang ZZhang PSun FLv X(2024)UDR-GS: Enhancing Underwater Dynamic Scene Reconstruction with Depth RegularizationSymmetry10.3390/sym1608101016:8(1010)Online publication date: 8-Aug-2024
https://doi.org/10.3390/sym16081010
Vyatkin SDolgovesov B(2024)Interactive calculation of light refraction and caustics using a graphics processorProgrammirovanie10.31857/S0132347424010086(100-112)Online publication date: 15-Feb-2024
https://doi.org/10.31857/S0132347424010086
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Index Terms

Neural Point Catacaustics for Novel-View Synthesis of Reflections
1. Computer systems organization
  1. Architectures
    1. Other architectures
      1. Neural networks
2. Computing methodologies
  1. Computer graphics
    1. Rendering
      1. Rasterization
      2. Reflectance modeling
    2. Shape modeling
      1. Point-based models

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cover image ACM Transactions on Graphics

ACM Transactions on Graphics Volume 41, Issue 6

December 2022

1428 pages

ISSN:0730-0301

EISSN:1557-7368

DOI:10.1145/3550454

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Publication History

Published: 30 November 2022

Published in TOG Volume 41, Issue 6

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Cited By

Jiang ZRahmani HBlack SWilliams B(2025)3D Points Splatting for real-time dynamic Hand ReconstructionPattern Recognition10.1016/j.patcog.2025.111426162(111426)Online publication date: Jun-2025
https://doi.org/10.1016/j.patcog.2025.111426
Du YZhang ZZhang PSun FLv X(2024)UDR-GS: Enhancing Underwater Dynamic Scene Reconstruction with Depth RegularizationSymmetry10.3390/sym1608101016:8(1010)Online publication date: 8-Aug-2024
https://doi.org/10.3390/sym16081010
Vyatkin SDolgovesov B(2024)Interactive calculation of light refraction and caustics using a graphics processorProgrammirovanie10.31857/S0132347424010086(100-112)Online publication date: 15-Feb-2024
https://doi.org/10.31857/S0132347424010086
Cai YLi RLiu L(2024)MV2MV: Multi-View Image Translation via View-Consistent Diffusion ModelsACM Transactions on Graphics10.1145/368797743:6(1-12)Online publication date: 19-Dec-2024
https://dl.acm.org/doi/10.1145/3687977
Zhou ZZhu JHuang ZCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)Gaussian Splatting with Neural Basis ExtensionProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3681694(6043-6052)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3681694
Chen WLiu L(2024)Deblur-GS: 3D Gaussian Splatting from Camera Motion Blurred ImagesProceedings of the ACM on Computer Graphics and Interactive Techniques10.1145/36513017:1(1-15)Online publication date: 13-May-2024
https://dl.acm.org/doi/10.1145/3651301
Duan YWei FDai QHe YChen WChen B(2024)4D-Rotor Gaussian Splatting: Towards Efficient Novel View Synthesis for Dynamic ScenesACM SIGGRAPH 2024 Conference Papers10.1145/3641519.3657463(1-11)Online publication date: 13-Jul-2024
https://dl.acm.org/doi/10.1145/3641519.3657463
Ye KHou QZhou K(2024)3D Gaussian Splatting with Deferred ReflectionACM SIGGRAPH 2024 Conference Papers10.1145/3641519.3657456(1-10)Online publication date: 13-Jul-2024
https://dl.acm.org/doi/10.1145/3641519.3657456
Dai PXu JXie WLiu XWang HXu W(2024)High-quality Surface Reconstruction using Gaussian SurfelsACM SIGGRAPH 2024 Conference Papers10.1145/3641519.3657441(1-11)Online publication date: 13-Jul-2024
https://dl.acm.org/doi/10.1145/3641519.3657441
Vyatkin SDolgovesov B(2024)Interactive Calculation of Light Refraction and Caustics Using a Graphics ProcessorProgramming and Computing Software10.1134/S036176882401012250:1(63-72)Online publication date: 22-May-2024
https://dl.acm.org/doi/10.1134/S0361768824010122
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