CAD: Photorealistic 3D Generation via Adversarial Distillation

no code implementations • 11 Dec 2023 • Ziyu Wan, Despoina Paschalidou, IAn Huang, Hongyu Liu, Bokui Shen, Xiaoyu Xiang, Jing Liao, Leonidas Guibas

The increased demand for 3D data in AR/VR, robotics and gaming applications, gave rise to powerful generative pipelines capable of synthesizing high-quality 3D objects.

3D Generation

Aladdin: Zero-Shot Hallucination of Stylized 3D Assets from Abstract Scene Descriptions

1 code implementation • 9 Jun 2023 • IAn Huang, Vrishab Krishna, Omoruyi Atekha, Leonidas Guibas

What constitutes the "vibe" of a particular scene?

Hallucination Language Modelling +2

ShapeTalk: A Language Dataset and Framework for 3D Shape Edits and Deformations

1 code implementation • CVPR 2023 • Panos Achlioptas, IAn Huang, Minhyuk Sung, Sergey Tulyakov, Leonidas Guibas

In this work, we aim to facilitate the task of editing the geometry of 3D models through the use of natural language.

Neural Rendering

LADIS: Language Disentanglement for 3D Shape Editing

1 code implementation • 9 Dec 2022 • IAn Huang, Panos Achlioptas, Tianyi Zhang, Sergey Tulyakov, Minhyuk Sung, Leonidas Guibas

Additionally, to measure edit locality, we define a new metric that we call part-wise edit precision.

Disentanglement

PartGlot: Learning Shape Part Segmentation from Language Reference Games

2 code implementations • CVPR 2022 • Juil Koo, IAn Huang, Panos Achlioptas, Leonidas Guibas, Minhyuk Sung

We introduce PartGlot, a neural framework and associated architectures for learning semantic part segmentation of 3D shape geometry, based solely on part referential language.