AnchorCrafter: Animate CyberAnchors Saling Your Products via
  Human-Object Interacting Video Generation
The automatic generation of anchor-style product promotion videos presents
promising opportunities in online commerce, advertising, and consumer
engagement. However, this remains a challenging task despite significant
advancements in pose-guided human video generation. In addressing this
challenge, we identify the integration of human-object interactions (HOI) into
pose-guided human video generation as a core issue. To this end, we introduce
AnchorCrafter, a novel diffusion-based system designed to generate 2D videos
featuring a target human and a customized object, achieving high visual
fidelity and controllable interactions. Specifically, we propose two key
innovations: the HOI-appearance perception, which enhances object appearance
recognition from arbitrary multi-view perspectives and disentangles object and
human appearance, and the HOI-motion injection, which enables complex
human-object interactions by overcoming challenges in object trajectory
conditioning and inter-occlusion management. Additionally, we introduce the
HOI-region reweighting loss, a training objective that enhances the learning of
object details. Extensive experiments demonstrate that our proposed system
outperforms existing methods in preserving object appearance and shape
awareness, while simultaneously maintaining consistency in human appearance and
motion. Project page: https://cangcz.github.io/Anchor-Crafter/
67468e323f6c325cb30981b3
Ziyi Xu
67468e323f6c325cb30981b4
Ziyao Huang
67468e323f6c325cb30981b5
Juan Cao
67468e323f6c325cb30981b6
Yong Zhang
67468e323f6c325cb30981b7
Xiaodong Cun
claimed_verified
2025-06-30T06:23:56.953Z
63184c517ca1b876d99b7e0e
https://cdn-avatars.huggingface.co/v1/production/uploads/63184c517ca1b876d99b7e0e/b-qDExoeJuDXK0cJBZKnz.jpeg
Xiaodong Cun
user
vinthony
67468e323f6c325cb30981b8
Qing Shuai
67468e323f6c325cb30981b9
Yuchen Wang
67468e323f6c325cb30981ba
Linchao Bao
67468e323f6c325cb30981bb
Jintao Li
67468e323f6c325cb30981bc
Fan Tang
AnchorCrafter: Animate CyberAnchors Saling Your Products via
  Human-Object Interacting Video Generation
The automatic generation of anchor-style product promotion videos presents
promising opportunities in online commerce, advertising, and consumer
engagement. However, this remains a challenging task despite significant
advancements in pose-guided human video generation. In addressing this
challenge, we identify the integration of human-object interactions (HOI) into
pose-guided human video generation as a core issue. To this end, we introduce
AnchorCrafter, a novel diffusion-based system designed to generate 2D videos
featuring a target human and a customized object, achieving high visual
fidelity and controllable interactions. Specifically, we propose two key
innovations: the HOI-appearance perception, which enhances object appearance
recognition from arbitrary multi-view perspectives and disentangles object and
human appearance, and the HOI-motion injection, which enables complex
human-object interactions by overcoming challenges in object trajectory
conditioning and inter-occlusion management. Additionally, we introduce the
HOI-region reweighting loss, a training objective that enhances the learning of
object details. Extensive experiments demonstrate that our proposed system
outperforms existing methods in preserving object appearance and shape
awareness, while simultaneously maintaining consistency in human appearance and
motion. Project page: https://cangcz.github.io/Anchor-Crafter/
AnchorCrafter, a diffusion-based system, generates high-fidelity 2D product promotion videos with controllable human-object interactions through HOI-appearance perception, HOI-motion injection, and HOI-region reweighting loss.
diffusion-based system HOI-appearance perception HOI-motion injection HOI-region reweighting loss