Cinematic Gaussians: Real-Time HDR Radiance Fields with Depth of Field
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Abstract (arXiv)
Radiance field methods represent the state of the art in reconstructing complex scenes from multi-view photos. However, these reconstructions often suffer from one or both of the following limitations: First, they typically represent scenes in low dynamic range (LDR), which restricts their use to evenly lit environments and hinders immersive viewing experiences. Secondly, their reliance on a pinhole camera model, assuming all scene elements are in focus in the input images, presents practical challenges and complicates refocusing during novel-view synthesis. Addressing these limitations, we present a lightweight method based on 3D Gaussian Splatting that utilizes multi-view LDR images of a scene with varying exposure times, apertures, and focus distances as input to reconstruct a high-dynamic-range (HDR) radiance field. By incorporating analytical convolutions of Gaussians based on a thin-lens camera model as well as a tonemapping module, our reconstructions enable the rendering of HDR content with flexible refocusing capabilities. We demonstrate that our combined treatment of HDR and depth of field facilitates real-time cinematic rendering, outperforming the state of the art.
Key facts. Cited by 12 papers in the map (data through 14 Oct 2026). Builds on 37 of its 78 references that are in the map. First posted on arXiv 11 Jun 2024.
Builds on
37 of 78 references.
References · 37
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- 2021Deblur-NeRF: Neural Radiance Fields from Blurry Imagescited by 179
25 more
- 2017HDR image reconstruction from a single exposure using deep CNNscited by 167
- 2023Multi-Scale 3D Gaussian Splatting for Anti-Aliased Renderingcited by 138
- 2020Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipelinecited by 132
- 2019Attention-guided Network for Ghost-free High Dynamic Range Imagingcited by 117
- 2021HDR-NeRF: High Dynamic Range Neural Radiance Fieldscited by 114
- 2018ExpandNet: A Deep Convolutional Neural Network for High Dynamic Range Expansion from Low Dynamic Range Contentcited by 89
- 2020HDR-GAN: HDR Image Reconstruction from Multi-Exposed LDR Images with Large Motionscited by 80
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- 2022Ghost-free High Dynamic Range Imaging with Context-aware Transformercited by 65
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- 2019Synthetic Defocus and Look-Ahead Autofocus for Casual Videographycited by 28
- 2022DoF-NeRF: Depth-of-Field Meets Neural Radiance Fieldscited by 26
- 2022GlowGAN: Unsupervised Learning of HDR Images from LDR Images in the Wildcited by 21
- 2023Fully Self-Supervised Depth Estimation from Defocus Cluecited by 17
- 2017Spatially-Varying Blur Detection Based on Multiscale Fused and Sorted Transform Coefficients of Gradient Magnitudescited by 15
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Built on by
Citing papers per year: 2025: 9; 2026: 3.
12 papers.
- 2025Deformable Beta Splattingcited by 38
- 2025LL-Gaussian: Low-Light Scene Reconstruction and Enhancement via Gaussian Splatting for Novel View Synthesiscited by 14
- 2025GaSLight: Gaussian Splats for Spatially-Varying Lighting in HDRcited by 12
- 2025GaussHDR: High Dynamic Range Gaussian Splatting via Learning Unified 3D and 2D Local Tone Mappingcited by 9
- 2025DoF-Gaussian: Controllable Depth-of-Field for 3D Gaussian Splattingcited by 6
- 2025Mono4DGS-HDR: High Dynamic Range 4D Gaussian Splatting from Alternating-exposure Monocular Videoscited by 2
- 2026NanoGS: Training-Free Gaussian Splat Simplificationcited by 2
- 2025Casual3DHDR: Deblurring High Dynamic Range 3D Gaussian Splatting from Casually Captured Videoscited by 1
- 2025Depth-Consistent 3D Gaussian Splatting via Physical Defocus Modeling and Multi-View Geometric Supervisioncited by 1
- 2025SplatBright: Generalizable Low-Light Scene Reconstruction from Sparse Views via Physically-Guided Gaussian Enhancementcited by 1
- 2026Physically Inspired Gaussian Splatting for HDR Novel View Synthesiscited by 1
- 2026Beyond Spherical Harmonics: Rethinking Appearance Models for Radiance Reconstructioncited by 1
- 2026Beyond Spherical Harmonics: Rethinking Appearance Models for Radiance Reconstruction8 Jun 2026
- 2026Physically Inspired Gaussian Splatting for HDR Novel View Synthesis30 Mar 2026
- 2026NanoGS: Training-Free Gaussian Splat Simplification17 Mar 2026
- 2025SplatBright: Generalizable Low-Light Scene Reconstruction from Sparse Views via Physically-Guided Gaussian Enhancement21 Dec 2025
- 2025Depth-Consistent 3D Gaussian Splatting via Physical Defocus Modeling and Multi-View Geometric Supervision13 Nov 2025
- 2025Mono4DGS-HDR: High Dynamic Range 4D Gaussian Splatting from Alternating-exposure Monocular Videos21 Oct 2025
- 2025Casual3DHDR: Deblurring High Dynamic Range 3D Gaussian Splatting from Casually Captured Videos24 Apr 2025
- 2025GaSLight: Gaussian Splats for Spatially-Varying Lighting in HDR15 Apr 2025
- 2025LL-Gaussian: Low-Light Scene Reconstruction and Enhancement via Gaussian Splatting for Novel View Synthesis14 Apr 2025
- 2025GaussHDR: High Dynamic Range Gaussian Splatting via Learning Unified 3D and 2D Local Tone Mapping13 Mar 2025
- 2025DoF-Gaussian: Controllable Depth-of-Field for 3D Gaussian Splatting2 Mar 2025
- 2025Deformable Beta Splatting27 Jan 2025