activity
20182026
most citedAtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation

31 citations · 78 across the 29 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.GR2025

Residual Primitive Fitting of 3D Shapes with SuperFrusta

Aditya Ganeshan, Matheus Gadelha, Thibault Groueix +6

We introduce a framework for converting 3D shapes into compact and editable assemblies of analytic primitives, directly addressing the persistent trade-off between reconstruction f…

cs.CV2025

WorldGen: From Text to Traversable and Interactive 3D Worlds

Dilin Wang, Hyunyoung Jung, Tom Monnier +22

We introduce WorldGen, a system that enables the automatic creation of large-scale, interactive 3D worlds directly from text prompts. Our approach transforms natural language descr…

cs.GR2025★ 1 cited

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…

cs.CV2025

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets

Dale Decatur, Thibault Groueix, Wang Yifan +3

Text-to-image diffusion models enable high-quality image generation but are computationally expensive. While prior work optimizes per-inference efficiency, we explore an orthogonal…

cs.GR2025★ 2 cited

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…