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WithAnyone: Towards Controllable and ID Consistent Image Generation

WithAnyone: Towards Controllable and ID Consistent Image Generation

16 October 2025
H. Xu
Wei Cheng
Peng Xing
Yixiao Fang
Shuhan Wu
Rui Wang
Xianfang Zeng
Daxin Jiang
Gang Yu
Xingjun Ma
Yu-Gang Jiang
    DiffM
ArXiv (abs)PDFHTMLHuggingFace (75 upvotes)

Papers citing "WithAnyone: Towards Controllable and ID Consistent Image Generation"

3 / 3 papers shown
Training for Identity, Inference for Controllability: A Unified Approach to Tuning-Free Face Personalization
Training for Identity, Inference for Controllability: A Unified Approach to Tuning-Free Face Personalization
Lianyu Pang
Ji Zhou
Qiping Wang
Baoquan Zhao
Zhenguo Yang
Qing Li
Xudong Mao
140
0
0
03 Dec 2025
Ar2Can: An Architect and an Artist Leveraging a Canvas for Multi-Human Generation
Ar2Can: An Architect and an Artist Leveraging a Canvas for Multi-Human Generation
Shubhankar Borse
Phuc Pham
Farzad Farhadzadeh
Seokeon Choi
P. Nguyen
Anh Tran
Sungrack Yun
Munawar Hayat
Fatih Porikli
78
0
0
27 Nov 2025
iMontage: Unified, Versatile, Highly Dynamic Many-to-many Image Generation
iMontage: Unified, Versatile, Highly Dynamic Many-to-many Image Generation
Zhoujie Fu
Xianfang Zeng
Jinghong Lan
Xinyao Liao
Cheng Chen
...
Wei Cheng
Shiyu Liu
Y. Chen
Gang Yu
Guosheng Lin
DiffMVGen
348
1
0
25 Nov 2025
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