Make 3D and 4D Scenes from a Single Image with Video Diffusion
Paper: DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion (14 Pages)
Researchers from HKUST, Tsinghua University, ShengShu are interested in introducing DimensionX, a novel framework that leverages controllable video diffusion to generate photorealistic 3D and 4D scenes from a single input image. They address the limitations of existing 3D and 4D reconstruction technologies, specifically the scarcity of large-scale 3D and 4D video datasets, which hinders high-quality scene generation.
Hmm..What’s the background?
Existing methods that leverage video diffusion models for 3D and 4D content generation either focus on object-level generation or employ time-consuming optimization techniques, leaving the generation of coherent and realistic scenes an open challenge.
DimensionX aims to overcome this by decoupling the spatial and temporal factors in video diffusion, allowing for precise control over both aspects during the generation process.
So what is proposed in the research paper?
In the research paper
DimensionX introduces ST-Director, which decouples the spatial and temporal priors in video diffusion models
The authors propose a training-free composition method called Switch-Once
To handle complex real-world scenes, DimensionX incorporates a trajectory-aware mechanism for 3D generation
For 4D scene generation, DimensionX utilizes an identity-preserving denoising strategy to maintain consistency across spatial-variant videos
What’s next?
The authors acknowledge that DimensionX has limitations. These limitations are primarily attributed to the diffusion backbone used in the framework. Current video diffusion models, while capable of generating impressive results, struggle with understanding and generating intricate details. This limitation affects the quality of the synthesized 3D and 4D scenes.
Future research directions include exploring more efficient diffusion models for end-to-end 3D and 4D generation and enhancing the capability of diffusion models to capture and generate subtle details for improved scene realism.
Make 3D and 4D Scenes from a Single Image with Video Diffusion
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