ICML 2025

Event-Customized Image Generation
Zhen Wang 1 Yilei Jiang 1 Dong Zheng 1 Jun Xiao 1 Long Chen 2
<V> sleeping <V> in a doghouse
a girl wearing a 
hat and a scarf
<V>
Spiderman <V>
a panda <V>
<V>
monkey <V> monkey
cat <V> cat
<V>
girl , hat
scarf
<V1>
<V2>
①<V1>
②<V2>
③cat
(a) The subject customization
(b) The action and interaction customization
(c) The event customization
①skeleton
②statue
③monkey
④book
①
②
③
④
①ape
②robot
①②
①Wolverine
②Spiderman
③Deadpool
④MacBook
①Spiderman
②Batman
①
②
③
①tiger
②lion
③meat
①cat
②dog
③orange
③
①
②
Figure 1: Customized Image Generation. (a) Generating customized images with given subjects in new contexts. (b) Generating
customized images with co-existing basic action or interaction in given images. (c) Generating customized images for complex events
with various target entities. Different colors and numbers show associations between reference entities and corresponding target prompts.
Abstract
Customized image generation has raised signif-
icant attention due to its creativity and novelty.
With impressive progress achieved in subject cus-
tomization, some pioneer works further explored
the customization of action and interaction be-
yond entity (e.g., human and object) appearance.
However, these approaches only focus on basic
actions and interactions between two entities, and
their effects are limited by insufficient “exactly
same” reference images. To extend the customiza-
1Zhejiang University, Hangzhou, China 2The Hong Kong Uni-
versity of Science and Technology, Hong Kong, China. Work was
done when Zhen Wang visited HKUST. Correspondence to: Long
Chen <longchen@ust.hk>.
Proceedings of the 42 nd International Conference on Machine
Learning, Vancouver, Canada. PMLR 267, 2025. Copyright 2025
by the author(s).
tion to more complex scenes, we propose a new
task: event-customized image generation. Given
a single reference image, we define the “event”
as all specific actions, poses, relations, or inter-
actions between different entit...