title: DreamCinema: Cinematic Transfer with Free Camera and 3D Character
summary: We are living in a flourishing era of digital media, where everyone has the
  potential to become a personal filmmaker. Current research on cinematic
  transfer empowers filmmakers to reproduce and manipulate the visual elements
  (e.g., cinematography and character behaviors) from classic shots. However,
  characters in the reimagined films still rely on manual crafting, which
  involves significant technical complexity and high costs, making it
  unattainable for ordinary users. Furthermore, their estimated cinematography
  lacks smoothness due to inadequate capturing of inter-frame motion and modeling
  of physical trajectories. Fortunately, the remarkable success of 2D and 3D AIGC
  has opened up the possibility of efficiently generating characters tailored to
  users' needs, diversifying cinematography. In this paper, we propose
  DreamCinema, a novel cinematic transfer framework that pioneers generative AI
  into the film production paradigm, aiming at facilitating user-friendly film
  creation. Specifically, we first extract cinematic elements (i.e., human and
  camera pose) and optimize the camera trajectory. Then, we apply a character
  generator to efficiently create 3D high-quality characters with a human
  structure prior. Finally, we develop a structure-guided motion transfer
  strategy to incorporate generated characters into film creation and transfer it
  via 3D graphics engines smoothly. Extensive experiments demonstrate the
  effectiveness of our method for creating high-quality films with free camera
  and 3D characters.
paper_authors._id: 66c810842400073af3e7e3dd
paper_authors.name: Weiliang Chen
paper_authors._id: 66c810842400073af3e7e3de
paper_authors.name: Fangfu Liu
paper_authors._id: 66c810842400073af3e7e3df
paper_authors.name: Diankun Wu
paper_authors._id: 66c810842400073af3e7e3e0
paper_authors.name: Haowen Sun
paper_authors.status: claimed_verified
paper_authors.statusLastChangedAt: 2024-09-02T07:19:05.110Z
paper_authors._id: 6577fd0c2c8d6e12c4df5865
paper_authors.avatarUrl: /avatars/83d264d01bc21765952225ddd1c1a389.svg
paper_authors.fullname: Haowen Sun
paper_authors.type: user
paper_authors.user: Sunboy0617
paper_authors._id: 66c810842400073af3e7e3e1
paper_authors.name: Haixu Song
paper_authors._id: 66c810842400073af3e7e3e2
paper_authors.name: Yueqi Duan
paper_title: DreamCinema: Cinematic Transfer with Free Camera and 3D Character
paper_summary: We are living in a flourishing era of digital media, where everyone has the
  potential to become a personal filmmaker. Current research on cinematic
  transfer empowers filmmakers to reproduce and manipulate the visual elements
  (e.g., cinematography and character behaviors) from classic shots. However,
  characters in the reimagined films still rely on manual crafting, which
  involves significant technical complexity and high costs, making it
  unattainable for ordinary users. Furthermore, their estimated cinematography
  lacks smoothness due to inadequate capturing of inter-frame motion and modeling
  of physical trajectories. Fortunately, the remarkable success of 2D and 3D AIGC
  has opened up the possibility of efficiently generating characters tailored to
  users' needs, diversifying cinematography. In this paper, we propose
  DreamCinema, a novel cinematic transfer framework that pioneers generative AI
  into the film production paradigm, aiming at facilitating user-friendly film
  creation. Specifically, we first extract cinematic elements (i.e., human and
  camera pose) and optimize the camera trajectory. Then, we apply a character
  generator to efficiently create 3D high-quality characters with a human
  structure prior. Finally, we develop a structure-guided motion transfer
  strategy to incorporate generated characters into film creation and transfer it
  via 3D graphics engines smoothly. Extensive experiments demonstrate the
  effectiveness of our method for creating high-quality films with free camera
  and 3D characters.
paper_ai_summary: DreamCinema uses generative AI to streamline the creation of high-quality films with user-friendly 3D characters and smooth camera movements, integrating cinematic transfer and motion generation.
paper_ai_keywords: cinematic transfer generative AI human and camera pose camera trajectory optimization character generator 3D high-quality characters human structure prior structure-guided motion transfer 3D graphics engines free camera