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A temporal neural denoiser validated on stochastic 2D Gaussian Splatting rendering, combining dual-path exponential moving average accumulation, per-pixel learned trust prediction for history validation, a fixed anisotropic spatial filter and a variance-gated composition with stabilization is proposed.
Pretrained 3D Gaussian scenes can be compressed 100-fold post-hoc without any per-scene optimization, beating existing simplification baselines by 1.3 dB PSNR at 12x the speed.
Directly editing 3D meshes in Blender through a visual-centric, agentic approach could revolutionize how artists interact with complex geometry.
