Cheng Zhang

Ph.D Student

Monash University

Biography

I am a Ph.D student co-supervised by Prof. Jianfei Cai, Dr. Camilo Cruz Gambardella and Prof. Dinh Phung at Monash University, Department of Data Science and AI. Before that, I received my Master’s degree in Information and Communication Engineering under the supervision of Prof. Shuaicheng LIU at University of Electronic Science and Technology of China. During my master study, I worked closely with Prof. Zhaopeng Cui and Dr. Yinda Zhang. I received my Bachelor’s degree at UESTC in 2019.

Interests

3D generation
Novel view synthesis
Image generation

Education

Ph.D Student of Information Technology, 2023 - present

Monash University
MEng in Information and Communication Engineering, 2019 - 2022

University of Electronic Science and Technology of China
BEng in Internet of Things Engineering, 2015 - 2019

University of Electronic Science and Technology of China

Publication

Cheng Zhang, Haofei Xu, Qianyi Wu, Camilo Cruz Gambardella, Dinh Phung, Jianfei Cai

December 2024 arXiv (arXiv)

PanSplat: 4K Panorama Synthesis with Feed-Forward Gaussian Splatting

We present PanSplat, a generalizable, feed-forward approach that efficiently supports resolution up to 4K (2048 × 4096).

Cheng Zhang, Qianyi Wu, Camilo Cruz Gambardella, Xiaoshui Huang, Dinh Phung, Wanli Ouyang, Jianfei Cai

April 2024 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Taming Stable Diffusion for Text to 360° Panorama Image Generation

We introduce a novel dual-branch diffusion model named PanFusion to generate a 360-degree image from a text prompt.

Cheng Zhang, Zhaopeng Cui, Cai Chen, Shuaicheng Liu, Bing Zeng, Hujun Bao, Yinda Zhang

August 2021 International Conference on Computer Vision (ICCV)

DeepPanoContext: Panoramic 3D Scene Understanding with Holistic Scene Context Graph and Relation-based Optimization

We propose a novel method for panoramic 3D scene understanding which recovers the 3D room layout and the shape, pose, position, and semantic category for each object from a single full-view panorama image.

Cheng Zhang, Zhaopeng Cui, Yinda Zhang, Bing Zeng, Marc Pollefeys, Shuaicheng Liu

March 2021 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Holistic 3D Scene Understanding from a Single Image with Implicit Representation

We present a new pipeline which takes a single image as input, estimates layout and object poses, then reconstructs the scene with Signed Distance Function (SDF) representation.