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47 papers · 1 filter
PoissonNet: A Local-Global Approach for Learning on Surfaces
Arman Maesumi, Tanish Makadia, Thibault Groueix +3
Many network architectures exist for learning on meshes, yet their constructions entail delicate trade-offs between difficulty learning high-frequency features, insufficient recept…
Escher Tile Deformation via Closed-Form Solution
Crane He Chen, Vladimir G. Kim
We present a real-time deformation method for Escher tiles -- interlocking organic forms that seamlessly tessellate the plane following symmetry rules. We formulate the problem as…
Splat and Replace: 3D Reconstruction with Repetitive Elements
Nicolás Violante, Andreas Meuleman, Alban Gauthier +3
We leverage repetitive elements in 3D scenes to improve novel view synthesis. Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) have greatly improved novel view synthe…
IntrinsicEdit: Precise generative image manipulation in intrinsic space
Linjie Lyu, Valentin Deschaintre, Yannick Hold-Geoffroy +5
Generative diffusion models have advanced image editing with high-quality results and intuitive interfaces such as prompts and semantic drawing. However, these interfaces lack prec…
MESA: Text-Driven Terrain Generation Using Latent Diffusion and Global Copernicus Data
Paul Borne--Pons, Mikolaj Czerkawski, Rosalie Martin +1
Terrain modeling has traditionally relied on procedural techniques, which often require extensive domain expertise and handcrafted rules. In this paper, we present MESA - a novel d…
FlairGPT: Repurposing LLMs for Interior Designs
Gabrielle Littlefair, Niladri Shekhar Dutt, Niloy J. Mitra
Interior design involves the careful selection and arrangement of objects to create an aesthetically pleasing, functional, and harmonized space that aligns with the client's design…