Search Results for author: Zibo Zhao

Found 7 papers, 5 papers with code

Apollonion: Profile-centric Dialog Agent

no code implementations10 Apr 2024 Shangyu Chen, Zibo Zhao, YuanYuan Zhao, Xiang Li

Besides, we proposed a series of evaluation protocols for personalization: to what extend the response is personal to the different users.

Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Models

1 code implementation21 Dec 2023 Xianfang Zeng, Xin Chen, Zhongqi Qi, Wen Liu, Zibo Zhao, Zhibin Wang, Bin Fu, Yong liu, Gang Yu

This paper presents Paint3D, a novel coarse-to-fine generative framework that is capable of producing high-resolution, lighting-less, and diverse 2K UV texture maps for untextured 3D meshes conditioned on text or image inputs.

2k

ShapeGPT: 3D Shape Generation with A Unified Multi-modal Language Model

1 code implementation29 Nov 2023 Fukun Yin, Xin Chen, Chi Zhang, Biao Jiang, Zibo Zhao, Jiayuan Fan, Gang Yu, Taihao Li, Tao Chen

The advent of large language models, enabling flexibility through instruction-driven approaches, has revolutionized many traditional generative tasks, but large models for 3D data, particularly in comprehensively handling 3D shapes with other modalities, are still under-explored.

3D Shape Generation Language Modelling +1

TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene Understanding

1 code implementation6 Nov 2023 Shuo Wang, Jing Li, Zibo Zhao, Dongze Lian, Binbin Huang, Xiaomei Wang, Zhengxin Li, Shenghua Gao

Holistic scene understanding includes semantic segmentation, surface normal estimation, object boundary detection, depth estimation, etc.

Boundary Detection Depth Estimation +5

RoomDesigner: Encoding Anchor-latents for Style-consistent and Shape-compatible Indoor Scene Generation

1 code implementation16 Oct 2023 Yiqun Zhao, Zibo Zhao, Jing Li, Sixun Dong, Shenghua Gao

Indoor scene generation aims at creating shape-compatible, style-consistent furniture arrangements within a spatially reasonable layout.

Quantization Scene Generation

Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation

1 code implementation NeurIPS 2023 Zibo Zhao, Wen Liu, Xin Chen, Xianfang Zeng, Rui Wang, Pei Cheng, Bin Fu, Tao Chen, Gang Yu, Shenghua Gao

We present a novel alignment-before-generation approach to tackle the challenging task of generating general 3D shapes based on 2D images or texts.

3D Shape Generation

Cannot find the paper you are looking for? You can Submit a new open access paper.