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 view synthesis


NA VI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations

Neural Information Processing Systems

Recent advances in neural reconstruction enable high-quality 3D object reconstruction from casually captured image collections. Current techniques mostly analyze their progress on relatively simple image collections where Structure-from-Motion (SfM) techniques can provide ground-truth (GT) camera poses.





DynPoint: Dynamic Neural Point For View Synthesis

Neural Information Processing Systems

These estimates are subsequently utilized to aggregate information from reference frames into the target frame. Subsequently, hierarchical neural point clouds are constructed based on the aggregated information. This hierarchical point cloud set is then employed to synthesize views of the target frame.




SceneScape: Text-Driven Consistent Scene Generation

Neural Information Processing Systems

We present a method for text-driven perpetual view generation - synthesizing long-term videos of various scenes solely from an input text prompt describing the scene and camera poses.