4 papers · 1 filter
Rigel3D: Rig-aware Latents for Animation-Ready 3D Asset Generation
Nikitas Chatzis, Marios Loizou, Evangelos Kalogerakis
Recent 3D generative models can synthesize high-quality assets, but their outputs are typically static: they lack the skeletal rigs, joint hierarchies, and skinning weights require…
Im2SurfTex: Surface Texture Generation via Neural Backprojection of Multi-View Images
Yiangos Georgiou, Marios Loizou, Melinos Averkiou +1
We present Im2SurfTex, a method that generates textures for input 3D shapes by learning to aggregate multi-view image outputs produced by 2D image diffusion models onto the shapes'…
SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials
Junyi Cao, Evangelos Kalogerakis
We present SOPHY, a generative model for 3D physics-aware shape synthesis. Unlike existing 3D generative models that focus solely on static geometry or 4D models that produce physi…
GEOPARD: Geometric Pretraining for Articulation Prediction in 3D Shapes
Pradyumn Goyal, Dmitry Petrov, Sheldon Andrews +3
We present GEOPARD, a transformer-based architecture for predicting articulation from a single static snapshot of a 3D shape. The key idea of our method is a pretraining strategy t…