2 citations · 2 across the 3 of their papers we have counts for
4 papers
BLARM: Animating 3D Objects from Video via Blending Latent Rigid Motion Primitives
Pradyumn Goyal, Yizhak Ben-Shabat, Hsueh-Ti Derek Liu +6
We introduce BLARM, a feed-forward method for video-driven 3D mesh animation. Given a monocular video and a static object mesh, BLARM predicts a temporally coherent animated mesh w…
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…
ShapeWords: Guiding Text-to-Image Synthesis with 3D Shape-Aware Prompts
Dmitry Petrov, Pradyumn Goyal, Divyansh Shivashok +3
We introduce ShapeWords, an approach for synthesizing images based on 3D shape guidance and text prompts. ShapeWords incorporates target 3D shape information within specialized tok…
GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis
Dmitry Petrov, Pradyumn Goyal, Vikas Thamizharasan +5
We introduce GEM3D -- a new deep, topology-aware generative model of 3D shapes. The key ingredient of our method is a neural skeleton-based representation encoding information on b…