ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis

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ViewCrafter improves view synthesis, significantly enhancing the quality of generated video frames.
Experiments showed strong generalization and superior performance in creating novel views across datasets.
The method utilizes camera trajectory planning to effectively manage occlusions during scene rendering.
Leveraging video diffusion models, it facilitates real-time rendering and imaginative 3D content creation.

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This method synthesizes high-fidelity views from sparse images, improving camera pose control and occlusion handling.

Yu et al. (2025) studied this question.

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