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Paul Yoo

3 accepted papers

2024

GenDOM: Generalizable One-shot Deformable Object Manipulation with Parameter-Aware Policy

ICRA 2024poster

Due to the inherent uncertainty in their deformability during motion, previous methods in deformable object manipulation, such as rope and cloth, often required hundreds of real-world demonstrations to train a manipulation policy for each object, which hinders their applications in our ever-changing…

Cited by 2SourceScholar
2024

Paste and Harmonize via Denoising: Subject-Driven Image Editing with Frozen Pre-Trained Diffusion Model

ICASSP 2024accepted

Text-to-Image generative models have shown a remarkable ability to produce high-quality images. However, existing methods still face difficulties in exemplar-guided image editing without destroying the given objects’ identity in the exemplar image. To address this problem, we propose a new framework…

Cited by 0SourceScholar
2023

DreamSparse: Escaping from Plato’s Cave with 2D Diffusion Model Given Sparse Views

NeurIPS 2023poster

Synthesizing novel view images from a few views is a challenging but practical problem. Existing methods often struggle with producing high-quality results or necessitate per-object optimization in such few-view settings due to the insufficient information provided. In this work, we explore leverag…

Cited by 13SourcePDFScholar