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GS^3: Efficient Relighting with Triple Gaussian Splatting Abstract: We present a spatial and angular Gaussian based representation and a triple splatting process, for real-time, high-quality novel lighting-and-view synthesis from multi-view point-lit input images. To describe complex ap pearance, we employ a Lambertian plus a mixture of angular Gaussians as... an effective reflectance function for each spatial Gaussian. To generate self-shadow, we splat all spatial Gaussians towards the light source to obtain shadow values, which are further refined by a small multi-layer perceptron. To compensate for other effects like global illumination, another network is trained to compute and add a per-spatial-Gaussian RGB tuple. The effectiveness of our representation is demonstrated on 30 samples with a wide variation in geometry (from solid to fluffy) and appearance (from translucent to anisotropic), as well as using different forms of input data, including rendered images of synthetic/reconstructed objects, photographs captured with a handheld camera and a flash, or from a professional lightstage. We achieve a training time of 40-70 minutes and a rendering speed of 90 fps on a single commodity GPU. Our results compare favorably with state-of-the-art techniques in terms of quality/performance.show more

MrNeRF

16,877 subscribers

17,811 views • 2 years ago •via X (Twitter)

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6 Comments

MrNeRF2 years ago

Paper (link to pdf): Project:

α2 years ago

Spectacular.

Sam Dutter2 years ago

Wow! 90 fps is impressive. Is this something that could be implemented in an engine like Unity? I'd love to play with it!

TheSeanLavery2 years ago

Honestly, you are one of my favorite accounts to view posts from. You give me a true glimpse into the future. :)

MrNeRF2 years ago

Thank you! I really appreciate it!

Oleg Pavlov2 years ago

That's impressive. How is performance on consumer hardware if you have a hundred of these on screen?

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Whilst we figure out a solution for temporal filtering on 3D Gaussian Splatting input frames. We can use a temporal filtering plugin on the screen captures or rendered images to act as a visualization tool to check what the future results might look like. "Processing and rendering a digital human with 3D Gaussian Splatting with a post process to simulate temporal filtering." Left video no temporal filtering. Right video with temporal filtering. R&D for archviz projects. #GaussianSplatting #ir #inria #sibr #aftereffects #temporalfiltering

Whilst we figure out a solution for temporal filtering on 3D Gaussian Splatting input frames. We can use a temporal filtering plugin on the screen captures or rendered images to act as a visualization tool to check what the future results might look like. "Processing and rendering a digital human with 3D Gaussian Splatting with a post process to simulate temporal filtering." Left video no temporal filtering. Right video with temporal filtering. R&D for archviz projects. #GaussianSplatting #ir #inria #sibr #aftereffects #temporalfiltering

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