337 citations · 380 across the 10 of their papers we have counts for
28 papers
MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers
Yawar Siddiqui, Antonio Alliegro, Alexey Artemov +5
We introduce MeshGPT, a new approach for generating triangle meshes that reflects the compactness typical of artist-created meshes, in contrast to dense triangle meshes extracted b…
Neural Poisson: Indicator Functions for Neural Fields
Angela Dai, Matthias Nießner
Implicit neural field generating signed distance field representations (SDFs) of 3D shapes have shown remarkable progress in 3D shape reconstruction and generation. We introduce a…
Learning 3D Scene Priors with 2D Supervision
Yinyu Nie, Angela Dai, Xiaoguang Han +1
Holistic 3D scene understanding entails estimation of both layout configuration and object geometry in a 3D environment. Recent works have shown advances in 3D scene estimation fro…
Texturify: Generating Textures on 3D Shape Surfaces
Yawar Siddiqui, Justus Thies, Fangchang Ma +3
Texture cues on 3D objects are key to compelling visual representations, with the possibility to create high visual fidelity with inherent spatial consistency across different view…
Weakly-Supervised End-to-End CAD Retrieval to Scan Objects
Tim Beyer, Angela Dai
CAD model retrieval to real-world scene observations has shown strong promise as a basis for 3D perception of objects and a clean, lightweight mesh-based scene representation; howe…
SPAMs: Structured Implicit Parametric Models
Pablo Palafox, Nikolaos Sarafianos, Tony Tung +1
Parametric 3D models have formed a fundamental role in modeling deformable objects, such as human bodies, faces, and hands; however, the construction of such parametric models requ…