SIGGRAPH 2026 paper proposes SAD, a more compact differentiable image representation
CSProfKGD · x · 2026-07-24
- A SIGGRAPH 2026 paper presents SAD (Soft Anisotropic Diagrams), a new differentiable image representation.
- The authors say it is more compact and efficient than Gaussian Splatting while preserving fine image details.
- They also argue the representation could be useful for image generation/editing and for 3D/4D content representation and generation.
- The tweet is a light repost from the presenter, but the substantive information is in the quoted abstract and conference announcement.
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