Chongjian GE Alternate Photo

Chongjian GE 葛崇剑

Research Scientist at Adobe Research. My work focuses on Visual Generation Models. I received my Ph.D. from HKU in 2024, advised by Prof. Ping Luo. Previously a visiting student at UC Berkeley with Prof. Masayoshi Tomizuka.

We are actively hiring self-motivated interns at Adobe Research.

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Publications

RELIC: Interactive Video World Model with Long-Horizon Memory
Yicong Hong*, Yiqun Mei*, Chongjian Ge*, Yiran Xu, Yang Zhou, Sai Bi, Yannick Hold-Geoffroy, Mike Roberts, Matthew Fisher, Eli Shechtman, Kalyan Sunkavalli, Feng Liu, Zhengqi Li, Hao Tan
* first authors in random order
Tech Report 2025
Project Paper
AWM
Advantage Weighted Matching: Aligning RL with Pretraining in Diffusion Models
Shuchen Xue, Chongjian Ge#, Shilong Zhang, Yichen Li, Zhi-Ming Ma.
# corresponding author
Tech Report 2025
Paper Code
Mimix
Character Mixing for Video Generation
Tingting Liao, Chongjian Ge, Guangyi Liu, Hao Li, Yi Zhou.
Tech Report 2025
Project Paper
PixelFlow
PixelFlow: Pixel-Space Generative Models with Flow
Shoufa Chen, Chongjian Ge, Shilong Zhang, Peize Sun, Ping Luo.
Tech Report 2025
Paper Code
Goku: Flow Based Video Generative Foundation Models
Shoufa Chen*, Chongjian Ge*, Yuqi Zhang, Yida Zhang, Fengda Zhu, Hao Yang, Hongxiang Hao, Hui Wu, Zhichao Lai, Yifei Hu, Ting-Che Lin, Shilong Zhang, Fu Li, Chuan Li, Xing Wang, Yanghua Peng, Peize Sun, Ping Luo, Yi Jiang, Zehuan Yuan, Bingyue Peng, Xiaobing Liu.
* equal contribution
CVPR 2025 Highlight
Project Paper Code
CompGS
CompGS: Unleashing 2D Compositionality for Compositional Text-to-3D
Chongjian Ge, Chenfeng Xu, Yuanfeng Ji, Chensheng Peng, Masayoshi Tomizuka, Ping Luo, Mingyu Ding+, Varun Jampani+, Wei Zhan.
CVPR 2025
Project
PixArt-Sigma
PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image
Junsong Chen*, Chongjian Ge*, Enze Xie*, Yue Wu*, Lewei Yao, Xiaozhe Ren, Zhongdao Wang, Ping Luo, Huchuan Lu, Zhenguo Li.
* equal contribution
ECCV 2024
Project Paper Code
PixArt-Alpha
PIXART-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
Junsong Chen*, Jincheng Yu*, Chongjian Ge*, Lewei Yao*, Enze Xie, Yue Wu, Zhongdao Wang, James Kwok, Ping Luo, Huchuan Lu, Zhenguo Li.
* equal contribution
ICLR 2024 Spotlight
Project Paper Code
MetaBEV
MetaBEV: Solving Sensor Failures for BEV Detection and Map Segmentation
Chongjian Ge*, Junsong Chen*, Enze Xie, Zhongdao Wang, Lanqing Hong, Huchuan Lu, Zhenguo Li, Ping Luo.
* equal contribution
ICCV 2023
Project Paper Code
GroupMixFormer
Advancing Vision Transformers with Group-Mix Attention
Chongjian Ge, Xiaohan Ding, Zhan Tong, Li Yuan, Jiangliu Wang, Yibing Song, Ping Luo.
Tech Report
Project Paper Code
Auto-Bench
Large Language Models as Automated Aligners for benchmarking Vision-Language Models
Yuanfeng Ji*, Chongjian Ge*, Weikai Kong, Enze Xie, Zhengying Liu, Zhengguo Li, Ping Luo.
* equal contribution
ICLR 2024
Paper
SNCLR
Soft Neighbors Are Positive Supporters in Contrastive Visual Representation Learning
Chongjian Ge, Jiangliu Wang, Zhan Tong, Shoufa Chen, Yibing Song, Ping Luo.
ICLR 2023
Paper Code
DCTON
Disentangled Cycle Consistency for Highly-realistic Virtual Try-On
Chongjian Ge, Yibing Song, Yuying Ge, Han Yang, Wei Liu, Ping Luo.
CVPR 2021
Paper Code
NEAL
Rethinking Attentive Object Detection via Neural Attention Learning
Chongjian Ge, Yibing Song, Chao Ma, Yuankai Qi, Ping Luo.
TIP 2023
Paper
AdaptFormer
AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition
Shoufa Chen*, Chongjian Ge*, Zhan Tong, Jiangliu Wang, Yibing Song, Jue Wang, Ping Luo.
* equal contribution
NeurIPS 2022
Project Paper Code
EViT
Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations
Youwei Liang, Chongjian Ge, Zhan Tong, Yibing Song, Jue Wang, Pengtao Xie.
ICLR 2022 Spotlight
Paper Code
CycleMLP
CycleMLP: A MLP-like Architecture for Dense Prediction
Shoufa Chen, Enze Xie, Chongjian Ge, Runjian Chen, Ding Liang, Ping Luo.
ICLR 2022 Oral
Paper Code
CycleMLP-PAMI
CycleMLP: A MLP-like Architecture for Dense Visual Predictions
Shoufa Chen, Enze Xie, Chongjian Ge, Runjian Chen, Ding Liang, Ping Luo.
T-PAMI 2023
Paper Code
CARE
Revitalizing CNN Attentions via Transformers in Self-Supervised Visual Representation Learning
Chongjian Ge, Youwei Liang, Yibing Song, Jianbo Jiao, Jue Wang, Ping Luo.
NeurIPS 2021
Paper Code
PFAFN
Parser-Free Virtual Try-on via Distilling Appearance Flows
Yuying Ge, Yibing Song, Ruimao Zhang, Chongjian Ge, Wei Liu, Ping Luo.
CVPR 2021
Paper Code
WOO
Watch Only Once: An End-to-End Video Action Detection Framework
Shoufa Chen, Peize Sun, Enze Xie, Chongjian Ge, Jiannan Wu, Lan Ma, Jiajun Shen, Ping Luo.
ICCV 2021
Paper Code
DeepAccident
DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving
Tianqi Wang, Sukmin Kim, Wenxuan Ji, Enze Xie, Chongjian Ge, Junsong Chen, Zhenguo Li, Ping Luo.
AAAI 2024
Paper Project
InstructDET
InstructDET: Diversifying Referring Object Detection with Generalized Instructions
Ronghao Dang, Jiangyan Feng, Haodong Zhang, Chongjian Ge, Lin Song, Lijun Gong, Chengju Liu, Qijun Chen, Feng Zhu, Rui Zhao, Yibing Song.
ICLR 2024
Paper Code
AMOS
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation
Yuanfeng Ji, Haotian Bai, Chongjian Ge, Jie Yang, Ye Zhu, Ruimao Zhang, Zhen Li, Lingyan Zhang, Wanling Ma, Xiang Wan, Ping Luo.
NeurIPS 2022 Track Datasets and Benchmarks Oral
Project Paper

Honors

  • CVPR Outstanding Reviewer 2023
  • HKPFS Fellowship (HKU) 2020-24
  • YS and Christabel Lung Scholarship 2020

Service

Conference Reviewer
CVPR ICCV ECCV NeurIPS ICML ICLR SIGGRAPH
Journal Reviewer
TPAMI TIP JBHI