Peng Yuan Zhou* — accepted AI-conference papers

2024

3D-GOI: 3D GAN Omni-Inversion for Multifaceted and Multi-object Editing

Haoran Li, Long Ma, Haolin Shi, Yanbin Hao, Yong Liao*, Lechao Cheng +1

ECCV 2024poster

"The current GAN inversion methods typically can only edit the appearance and shape of a single object and background while overlooking spatial information. In this work, we propose a 3D editing framework, to enable multifaceted editing of affine information (scale, translation, and rotation) on mul…

Cited by 4 Source ↗PDF ↗code ↗Scholar ↗

2024

DreamScene: 3D Gaussian-based Text-to-3D Scene Generation via Formation Pattern Sampling

Haoran Li, Haolin Shi, Wenli Zhang, Wenjun Wu, Yong Liao*, Lin Wang +2

ECCV 2024poster

"Text-to-3D scene generation holds immense potential for the gaming, film, and architecture sectors. Despite significant progress, existing methods struggle with maintaining high quality, consistency, and editing flexibility. In this paper, we propose , a 3D Gaussian-based novel text-to-3D scene gen…

Cited by 33 Source ↗PDF ↗code ↗Scholar ↗