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This work proposes a motion-aware 3D smoothing filter specifically designed for 4D representations that adapts the filter strength based on local motion information, effectively mitigating aliasing without compromising rendering quality.
Evaluating physical reasoning in video models is difficult because absolute motion measurements depend on frame rate, object scale, and camera calibration, all of which are often ambiguous or unavailable in generated video. We propose a different approach. When two objects in the same scene obey the same physical law,...
This work proposes a novel approach to explicitly control the number of Gaussians by leveraging local texture information through three key components: texture estimation to capture spatial variation in scene detail, texture-aware pruning that removes redundant Gaussians from low frequency regions, and an adaptive Gaus...
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