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Pengkun Liu

3 accepted papers

2026

SceneTransporter: Optimal Transport-Guided Compositional Latent Diffusion for Single-Image Structured 3D Scene Generation

ICLR 2026poster

We introduce SceneTransporter, an end-to-end framework for structured 3D scene generation from a single image. While existing methods generate part-level 3D objects, they often fail to organize these parts into distinct instances in open-world scenes. Through a debiased clustering probe, we reveal a…

Cited by 0SourcecodeScholar
2024

AnimatableDreamer: Text-Guided Non-rigid 3D Model Generation and Reconstruction with Canonical Score Distillation

ECCV 2024poster

"Advances in 3D generation have facilitated sequential 3D model generation (a.k.a 4D generation), yet its application for animatable objects with large motion remains scarce. Our work proposes AnimatableDreamer, a text-to-4D generation framework capable of generating diverse categories of non-rigid…

2023

Acquisition and Prediction of High-Density Tactile Field Data for Rigid and Flexible Objects

IROS 2023poster

Obtaining high-density tactile field information is a critical aspect of research in the field of robotic haptics, as it plays a decisive role in determining the precision of robot manipulations. Vision-based tactile sensors have unique high-resolution features, which make them promising for related…

Cited by 3SourceScholar