The path tracing revolution in the movie industry

Author:

Keller A.1,Fascione L.2,Fajardo M.3,Georgiev I.3,Christensen P.4,Hanika J.2,Eisenacher C.5,Nichols G.5

Affiliation:

1. NVIDIA

2. Weta digital

3. Solid Angle

4. Pixar

5. Walt Disney Animation Studios

Publisher

ACM

Cited by 27 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Cache Points for Production-Scale Occlusion-Aware Many-Lights Sampling and Volumetric Scattering;The Digital Production Symposium;2024-07-27

2. Practical Error Estimation for Denoised Monte Carlo Image Synthesis;Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers '24;2024-07-13

3. Denoising Monte Carlo renderings via a multi-scale featured dual-residual GAN;The Visual Computer;2021-06-19

4. DMCR-GAN: Adversarial Denoising for Monte Carlo Renderings with Residual Attention Networks and Hierarchical Features Modulation of Auxiliary Buffers;SIGGRAPH Asia 2020 Technical Communications;2020-11-17

5. Progressive path tracing with bilateral-filtering-based denoising;Multimedia Tools and Applications;2020-09-08

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