title: Disco4D: Disentangled 4D Human Generation and Animation from a Single
    Image
summary: We present Disco4D, a novel Gaussian Splatting framework for 4D
  human generation and animation from a single image. Different from existing
  methods, Disco4D distinctively disentangles clothings (with Gaussian models)
  from the human body (with SMPL-X model), significantly enhancing the generation
  details and flexibility. It has the following technical innovations.
  1) Disco4D learns to efficiently fit the clothing Gaussians over the
  SMPL-X Gaussians. 2) It adopts diffusion models to enhance the 3D
  generation process, e.g., modeling occluded parts not visible in the
  input image. 3) It learns an identity encoding for each clothing
  Gaussian to facilitate the separation and extraction of clothing assets.
  Furthermore, Disco4D naturally supports 4D human animation with vivid dynamics.
  Extensive experiments demonstrate the superiority of Disco4D on 4D human
  generation and animation tasks. Our visualizations can be found in
  https://disco-4d.github.io/.
paper_authors._id: 66f61aef793e1463e402813e
paper_authors.name: Hui En Pang
paper_authors._id: 66f61aef793e1463e402813f
paper_authors.name: Shuai Liu
paper_authors._id: 66f61aef793e1463e4028140
paper_authors.name: Zhongang Cai
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2024-10-01T09:01:26.518Z
paper_authors._id: 652d06833b5997ed71ce5c46
paper_authors.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/noauth/xZTXEcnEogEmBm_ledJQr.jpeg
paper_authors.fullname: Zhongang Cai
paper_authors.type: user
paper_authors.user: caizhongang
paper_authors._id: 66f61aef793e1463e4028141
paper_authors.name: Lei Yang
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2025-03-10T08:10:57.021Z
paper_authors._id: 6626a471430a124253f197c8
paper_authors.avatarUrl: /avatars/f5747fdbe495d1296fed9d16d8c95857.svg
paper_authors.fullname: yl-1993
paper_authors.type: user
paper_authors.user: yl-1993
paper_authors._id: 66f61aef793e1463e4028142
paper_authors.name: Tianwei Zhang
paper_authors._id: 66f61aef793e1463e4028143
paper_authors.name: Ziwei Liu
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2024-09-30T15:59:33.202Z
paper_authors._id: 62ab1ac1d48b4d8b048a3473
paper_authors.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/1656826685333-62ab1ac1d48b4d8b048a3473.png
paper_authors.fullname: Ziwei Liu
paper_authors.type: user
paper_authors.user: liuziwei7
paper_title: Disco4D: Disentangled 4D Human Generation and Animation from a Single
    Image
paper_summary: We present Disco4D, a novel Gaussian Splatting framework for 4D
  human generation and animation from a single image. Different from existing
  methods, Disco4D distinctively disentangles clothings (with Gaussian models)
  from the human body (with SMPL-X model), significantly enhancing the generation
  details and flexibility. It has the following technical innovations.
  1) Disco4D learns to efficiently fit the clothing Gaussians over the
  SMPL-X Gaussians. 2) It adopts diffusion models to enhance the 3D
  generation process, e.g., modeling occluded parts not visible in the
  input image. 3) It learns an identity encoding for each clothing
  Gaussian to facilitate the separation and extraction of clothing assets.
  Furthermore, Disco4D naturally supports 4D human animation with vivid dynamics.
  Extensive experiments demonstrate the superiority of Disco4D on 4D human
  generation and animation tasks. Our visualizations can be found in
  https://disco-4d.github.io/.
paper_ai_keywords: Gaussian Splatting implicit disentanglement clothings (with Gaussian models) SMPL-X model Gaussian models diffusion models identity encoding