DreamCinema: Cinematic Transfer with Free Camera and 3D Character
This addresses the need for user-friendly, immersive filmmaking tools in digital media, though it appears incremental by building on existing diffusion models and 3D generation techniques.
The paper tackles the problem of generating cinematic videos with free camera movement and consistent 3D characters, achieving high-quality film creation through a framework that decomposes and recombines key elements like character, motion, camera, and environment.
We are living in a flourishing era of digital media, where everyone has the potential to become a personal filmmaker. Current research on video generation suggests a promising avenue for controllable film creation in pixel space using Diffusion models. However, the reliance on overly verbose prompts and insufficient focus on cinematic elements (e.g., camera movement) results in videos that lack cinematic quality. Furthermore, the absence of 3D modeling often leads to failures in video generation, such as inconsistent character models at different frames, ultimately hindering the immersive experience for viewers. In this paper, we propose a new framework for film creation, Dream-Cinema, which is designed for user-friendly, 3D space-based film creation with generative models. Specifically, we decompose 3D film creation into four key elements: 3D character, driven motion, camera movement, and environment. We extract the latter three elements from user-specified film shots and generate the 3D character using a generative model based on a provided image. To seamlessly recombine these elements and ensure smooth film creation, we propose structure-guided character animation, shape-aware camera movement optimization, and environment-aware generative refinement. Extensive experiments demonstrate the effectiveness of our method in generating high-quality films with free camera and 3D characters.