Xinhua Cheng (程鑫华)
ID Photo

I am a third-year master student of computer applications technology at School of Electron and Computer Engineering, Peking University, advised by Prof. Li Yuan and Jian Zhang. Before this, I got a B.E. degree of computer science at College of Computer Science, Sichuan University.

My recent research interests includes 3D vision and AIGC, especially text-to-3D content creation and editing.

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Selected Publications

Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with Complex Semantic Prompts

Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with Complex Semantic Prompts

Xinhua Cheng, Tianyu Yang, Jianan Wang, Yu Li, Lei Zhang, Jian Zhang, Li Yuan

International Conference on Learning Representations (ICLR), 2024

Paper Code Page

We introduce progressive local editing to create precise 3D content consistent with prompts describing multiple interacted objects binding with different attributes.

Null-Space Diffusion Sampling for Zero-Shot Point Cloud Completion

Null-Space Diffusion Sampling for Zero-Shot Point Cloud Completion

Xinhua Cheng*, Nan Zhang*, Jiwen Yu, Yinhuai Wang, Ge Li, Jian Zhang

International Joint Conference on Artificial Intelligence (IJCAI), 2023

Paper

We propose a zero-shot point cloud completion framework by only refining the null-space content during the reverse process of a pre-trained diffusion model.

Panoptic Compositional Feature Field for Editable Scene Rendering with Network-Inferred Labels via Metric Learning

Panoptic Compositional Feature Field for Editable Scene Rendering with Network-Inferred Labels via Metric Learning

Xinhua Cheng, Yanmin Wu, Mengxi Jia, Qian Wang, Jian Zhang

Conference on Computer Vision and Pattern Recognition (CVPR), 2023

Paper Supp

We introduce metric learing for leveraging 2D network-inferred labels to obtain discriminating feature fields, leading to 3D segmentation and editing results.

EDA: Explicit Text-Decoupling and Dense Alignment for 3D Visual Grounding

EDA: Explicit Text-Decoupling and Dense Alignment for 3D Visual Grounding

Yanmin Wu, Xinhua Cheng, Mengxi Jia, Renrui Zhang, Zesen Cheng, Jian Zhang

Conference on Computer Vision and Pattern Recognition (CVPR), 2023

Paper Code

We explicitly decouple the textual attributes and conduct dense alignment between such fine-grained language and point cloud objects for 3D visual grounding.

More is better: Multi-source Dynamic Parsing Attention for Occluded Person Re-identification

More is better: Multi-source Dynamic Parsing Attention for Occluded Person Re-identification

Xinhua Cheng*, Mengxi Jia*, Qian Wang, Jian Zhang

ACM International Conference on Multimedia (ACM MM), 2022

Paper

We introduce the multi-source knowledge ensemble in occluded re-ID to effective leverage external semantic cues learned from different domains.

A Simple Visual-Textual Baseline for Pedestrian Attribute Recognition

A Simple Visual-Textual Baseline for Pedestrian Attribute Recognition

Xinhua Cheng*, Mengxi Jia*, Qian Wang, Jian Zhang

IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022

Paper Code

We model pedestrian attribute recognition as a multimodal problem and build a simple visual-textual baseline to captures the intra- and cross-modal correlations.