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Dmitry Petrov

2 accepted papers

2025

GEOPARD: Geometric Pretraining for Articulation Prediction in 3D Shapes

ICCV 2025poster

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 that allows our transformer to learn plausible candidate articulations for 3D shapes based on a geometric-driven search w…

Cited by 0SourcePDFScholar
2025

ShapeWords: Guiding Text-to-Image Synthesis with 3D Shape-Aware Prompts

CVPR 2025poster

We introduce ShapeWords, an approach for synthesizing images based on 3D shape guidance and text prompts.ShapeWords incorporates target 3D shape information within specialized tokens embedded together with the input text, effectively blending 3D shape awareness with textual context to guide the imag…

Cited by 0SourcePDFScholar