Xi CHEN (陈汐)

Xi CHEN

I am a second-year (starting from 2022) Ph.D. student at the University of Hong Kong, supervised by Prof. Hengshuang Zhao. Before joining HKU, I worked as a senior algorithm engineer at Alibaba Group. Previously, I got the Master degree at Zhejiang University in 2020. I also got a double master diploma at Ecole Centrale Mediterranee(France). Before that, I received my B.Eng. from Zhejiang University in 2017.

My research interests lie in the field of deep learning and computer vision, I've published multiple research works for image/video perception, open-world multi-modal learning. Now I focus on generative AI.

I've done internship or cooperations with many companies like Adobe, Meta, Megvii, SenseTime, Hikvision, Ufoto, AISegment, LIS(France), etc.

Reach out to me over gmail: chauncey0620 for discussion or any opportunities.

CV / Google Scholar / Github / Zhihu

News

[Oct. 2024] Two papers accepted by NeurIPS2024!
[July. 2024] Four papers accepted by ECCV2024, see you at Milano!
[Jun. 2024] We release MimicBrush for imitative image editing.
[Dec. 2023] We release LivePhoto for image-to-video generation.
[Dec. 2023] The code of AnyDoor is released here, we would continue to make it stronger.
[Jul. 2023] We release AnyDoor for zero-shot image composition & customization.
[Jul. 2023] OPSNet is accepted by ICCV2023.
[Mar. 2023] We release the manuscripts of OPSNet and ScribbleSeg.
[Mar. 2023] One co-authored paper accepted to CVPR2023.
[Feb. 2022] I join HKU as a PhD student.

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Selected Publications

Google Scholar

(*: Equal contribution)

	Zero-shot Image Editing with Reference Imitation Xi Chen, Yutong Feng, Mengting Chen, Yiyang Wang, Shilong Zhang, Yu Liu, Yujun Shen, Hengshuang Zhao NeurIPS, 2024 pdf/ page/ code/ media (AK)/ media (Gradio) MimicBrush conducts imitative editing by discovering the semantic correspondence between the source and reference image. It supports interesting and practical applications for local region composition and texture transfer.
	LivePhoto: Real Image Animation with Text-guided Motion Control Xi Chen, Zhiheng Liu, Mengting Chen, Yutong Feng, Yu Liu, Yujun Shen, Hengshuang Zhao ECCV, 2024 pdf/ page/ code/ media (AK) We present LivePhoto, a real image animation method with text control. Different from previous works, LivePhoto truely listens to the text instructions and well preserves the object-ID.
	AnyDoor: Zero-shot Object-level Image Customization Xi Chen, Lianghua Huang, Yu Liu, Yujun Shen, Deli Zhao, Hengshuang Zhao CVPR, 2024 pdf/ page/ code/ media[AK]/ [量子位]/ [机器之心] This work presents AnyDoor, a diffusion-based image generator with the power to teleport target objects to new scenes at user-specified locations in a harmonious way.
	Wear-Any-Way: Manipulable Virtual Try-on via Sparse Correspondence Alignment Mengting Chen, Xi Chen, Zhonghua Zhai, Chen Ju, Xuewen Hong, Jinsong Lan, Shuai Xiao ECCV, 2024 pdf/ page/ media[极市平台] Wear-Any-Way proposes a novel setting for virtual try-on. Besides showing robust performance in different senarios, it supports users to manipulate the wearing styles by clicking and dragging.
	FlashFace: Human Image Personalization with High-fidelity Identity Preservation Shilong Zhang, Lianghua Huang, Xi Chen,Yifei Zhang, Zhi-Fan Wu, Yutong Feng, Wei Wang, Yujun Shen, Yu Liu, Ping Luo arxiv, 2024 pdf/ page/ code/ media[AK] FlashFace is a practical tool with which users can easily personalize their own photos on the fly by providing one or a few reference face images and a text prompt.
	Open-vocabulary Panoptic Segmentation with Embedding Modulation Xi Chen, Shuang Li, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao ICCV, 2023 pdf/ page We present a omnipotent and efficient framework for open-vocabulary panoptic segmentation, which shows great performance for both closed- and open-vocabulary settings with limited training data.
	FocalClick: Towards Practical Interactive Image Segmentation Xi Chen, Zhiyan Zhao, Yilei Zhang, Manni Duan, Donglian Qi, Hengshuang Zhao CVPR, 2022 pdf / code FocalClick is a simple and effective solution for interactive segmentation. It largely reduces the computation for various models by focusing on target local regions.
	Conditional Diffusion for Interactive Segmentation Xi Chen, Zhiyan Zhao, Feiwu Yu, Yilei Zhang, Manni Duan ICCV, 2021 pdf / code We view interactive segmentation as a diffusion procedure and design feature- and pixel-level diffuion modules for more consistent predictions.
	State-Aware Tracker for Real-Time Video Object Segmentation Xi Chen, Zuoxin Li, Ye Yuan, Gang Yu, Jianxin Shen, Donglian Qi CVPR, 2020 pdf / code We propose a novel pipeline called State-Aware Tracker (SAT), which can produce accurate segmentation results with real-time speed.