StereoCrafter
A framework for converting monocular videos into immersive stereoscopic 3D videos
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- Depth estimation: Estimate video depth from monocular videos and generate distorted videos and occlusion masks.
- Stereoscopic video restoration: Fill the hollow areas of the deformed video with occlusion masks to synthesize the right view video.
- Autoregressive strategy: Process video inputs of different lengths to optimize the video processing flow.
- Block processing: Processing video inputs of different resolutions to improve processing efficiency.
- High quality dataset construction: Develop complex data processing workflows to reconstruct large-scale, high-quality datasets to support training.
- High fidelity generation: Ensure that the generated stereoscopic 3D video meets the requirements of the display device.
Product Details
StereoCrafter is an innovative framework that utilizes basic models as priors to convert 2D videos into immersive stereoscopic 3D videos through depth estimation and stereoscopic video restoration techniques. This technology breaks through the limitations of traditional methods and improves the high fidelity generation performance required for display devices. The main advantages of StereoCrafter include the ability to handle video inputs of different lengths and resolutions, as well as optimize video processing through autoregressive strategies and block processing. In addition, StereoCrafter has developed complex data processing workflows to reconstruct large-scale, high-quality datasets that support the training process. This framework provides a practical solution for creating immersive content for 3D devices such as Apple Vision Pro and 3D displays, which may change the way we experience digital media.
