title: DreaMoving: A Human Dance Video Generation Framework based on Diffusion
    Models
summary: In this paper, we present DreaMoving, a diffusion-based controllable video
  generation framework to produce high-quality customized human dance videos.
  Specifically, given target identity and posture sequences, DreaMoving can
  generate a video of the target identity dancing anywhere driven by the posture
  sequences. To this end, we propose a Video ControlNet for motion-controlling
  and a Content Guider for identity preserving. The proposed model is easy to use
  and can be adapted to most stylized diffusion models to generate diverse
  results. The project page is available at
  https://dreamoving.github.io/dreamoving.
paper_authors._id: 65767f4e68ea3e91dcbae186
paper_authors.name: Mengyang Feng
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2023-12-11T08:37:51.144Z
paper_authors._id: 63b4ec15103617b0a5b3101e
paper_authors.avatarUrl: /avatars/e6faad833b31ad5d892faccf621e7a34.svg
paper_authors.fullname: Mengyang Feng
paper_authors.type: user
paper_authors.user: archerfmy
paper_authors._id: 65767f4e68ea3e91dcbae187
paper_authors.name: Jinlin Liu
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2023-12-11T08:38:01.286Z
paper_authors._id: 65322c2a7b5d1a9c7b704c27
paper_authors.avatarUrl: /avatars/8c686fa54e7a61594bee20791177b6c1.svg
paper_authors.fullname: Liu
paper_authors.type: user
paper_authors.user: Jinlin123
paper_authors._id: 65767f4e68ea3e91dcbae188
paper_authors.name: Kai Yu
paper_authors._id: 65767f4e68ea3e91dcbae189
paper_authors.name: Yuan Yao
paper_authors._id: 65767f4e68ea3e91dcbae18a
paper_authors.name: Zheng Hui
paper_authors.status: claimed_verified
paper_authors.statusLastChangedAt: 2024-05-17T09:19:47.507Z
paper_authors._id: 637f68df069b3a40ffb38818
paper_authors.avatarUrl: /avatars/ef7dc172ee9785c64b3db0c045a35086.svg
paper_authors.fullname: Zheng HUI
paper_authors.type: user
paper_authors.user: Zheng222
paper_authors._id: 65767f4e68ea3e91dcbae18b
paper_authors.name: Xiefan Guo
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2023-12-11T08:39:29.147Z
paper_authors._id: 64905cd589f22918ecaca080
paper_authors.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/noauth/2S7I7uZL49CXbUN2T7p63.jpeg
paper_authors.fullname: Xiefan Guo
paper_authors.type: user
paper_authors.user: xiefan-guo
paper_authors._id: 65767f4e68ea3e91dcbae18c
paper_authors.name: Xianhui Lin
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2023-12-11T08:39:39.088Z
paper_authors._id: 6465e40a63e7e09dd02ef95d
paper_authors.avatarUrl: /avatars/2b7f2c55eeca13a0c45e9fe2bd31df36.svg
paper_authors.fullname: lin
paper_authors.type: user
paper_authors.user: xianhui
paper_authors._id: 65767f4e68ea3e91dcbae18d
paper_authors.name: Haolan Xue
paper_authors._id: 65767f4e68ea3e91dcbae18e
paper_authors.name: Chen Shi
paper_authors._id: 65767f4e68ea3e91dcbae18f
paper_authors.name: Xiaowen Li
paper_authors._id: 65767f4e68ea3e91dcbae190
paper_authors.name: Aojie Li
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2023-12-11T08:41:27.059Z
paper_authors._id: 6251552232d2fd9ef3f146b7
paper_authors.avatarUrl: /avatars/4fc6b812368d79a05b933244c920f04b.svg
paper_authors.fullname: li
paper_authors.type: user
paper_authors.user: aoJie
paper_authors._id: 65767f4e68ea3e91dcbae191
paper_authors.name: Miaomiao Cui
paper_authors._id: 65767f4e68ea3e91dcbae192
paper_authors.name: Peiran Ren
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2023-12-11T08:41:42.926Z
paper_authors._id: 64b74a45f902508f0d786505
paper_authors.avatarUrl: /avatars/8bc5aaa011642827e12524c4f0a56927.svg
paper_authors.fullname: Peiran REN
paper_authors.type: user
paper_authors.user: lyraestar
paper_authors._id: 65767f4e68ea3e91dcbae193
paper_authors.name: Xuansong Xie
paper_title: DreaMoving: A Human Dance Video Generation Framework based on Diffusion
    Models
paper_summary: In this paper, we present DreaMoving, a diffusion-based controllable video
  generation framework to produce high-quality customized human dance videos.
  Specifically, given target identity and posture sequences, DreaMoving can
  generate a video of the target identity dancing anywhere driven by the posture
  sequences. To this end, we propose a Video ControlNet for motion-controlling
  and a Content Guider for identity preserving. The proposed model is easy to use
  and can be adapted to most stylized diffusion models to generate diverse
  results. The project page is available at
  https://dreamoving.github.io/dreamoving.
paper_ai_summary: DreaMoving is a diffusion-based framework that generates high-quality, customized human dance videos by controlling motion and preserving identity.
paper_ai_keywords: diffusion-based Video ControlNet motion-controlling Content Guider