SwapAnything: Enabling Arbitrary Object Swapping in Personalized Visual
  Editing
Effective editing of personal content holds a pivotal role in enabling
individuals to express their creativity, weaving captivating narratives within
their visual stories, and elevate the overall quality and impact of their
visual content. Therefore, in this work, we introduce SwapAnything, a novel
framework that can swap any objects in an image with personalized concepts
given by the reference, while keeping the context unchanged. Compared with
existing methods for personalized subject swapping, SwapAnything has three
unique advantages: (1) precise control of arbitrary objects and parts rather
than the main subject, (2) more faithful preservation of context pixels, (3)
better adaptation of the personalized concept to the image. First, we propose
targeted variable swapping to apply region control over latent feature maps and
swap masked variables for faithful context preservation and initial semantic
concept swapping. Then, we introduce appearance adaptation, to seamlessly adapt
the semantic concept into the original image in terms of target location,
shape, style, and content during the image generation process. Extensive
results on both human and automatic evaluation demonstrate significant
improvements of our approach over baseline methods on personalized swapping.
Furthermore, SwapAnything shows its precise and faithful swapping abilities
across single object, multiple objects, partial object, and cross-domain
swapping tasks. SwapAnything also achieves great performance on text-based
swapping and tasks beyond swapping such as object insertion.
6614c0c084b4d608d5fa518d
Jing Gu
6614c0c084b4d608d5fa518e
Yilin Wang
6614c0c084b4d608d5fa518f
Nanxuan Zhao
6614c0c084b4d608d5fa5190
Wei Xiong
6614c0c084b4d608d5fa5191
Qing Liu
6614c0c084b4d608d5fa5192
Zhifei Zhang
6614c0c084b4d608d5fa5193
He Zhang
6614c0c084b4d608d5fa5194
Jianming Zhang
6614c0c084b4d608d5fa5195
HyunJoon Jung
6614c0c084b4d608d5fa5196
Xin Eric Wang
claimed_verified
2024-04-09T19:48:20.566Z
64679a226192d39142245e5e
/avatars/05abee0b6317f100923936ca2099e9eb.svg
Xin Eric Wang
user
xw-eric
SwapAnything: Enabling Arbitrary Object Swapping in Personalized Visual
  Editing
Effective editing of personal content holds a pivotal role in enabling
individuals to express their creativity, weaving captivating narratives within
their visual stories, and elevate the overall quality and impact of their
visual content. Therefore, in this work, we introduce SwapAnything, a novel
framework that can swap any objects in an image with personalized concepts
given by the reference, while keeping the context unchanged. Compared with
existing methods for personalized subject swapping, SwapAnything has three
unique advantages: (1) precise control of arbitrary objects and parts rather
than the main subject, (2) more faithful preservation of context pixels, (3)
better adaptation of the personalized concept to the image. First, we propose
targeted variable swapping to apply region control over latent feature maps and
swap masked variables for faithful context preservation and initial semantic
concept swapping. Then, we introduce appearance adaptation, to seamlessly adapt
the semantic concept into the original image in terms of target location,
shape, style, and content during the image generation process. Extensive
results on both human and automatic evaluation demonstrate significant
improvements of our approach over baseline methods on personalized swapping.
Furthermore, SwapAnything shows its precise and faithful swapping abilities
across single object, multiple objects, partial object, and cross-domain
swapping tasks. SwapAnything also achieves great performance on text-based
swapping and tasks beyond swapping such as object insertion.
SwapAnything is a framework for precise object swapping in images using latent feature maps and appearance adaptation, offering better context preservation and concept adaptation than existing methods.
latent feature maps variable swapping appearance adaptation context preservation semantic concept swapping text-based swapping object insertion