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Point-based neural editing can now adapt to large deformations without ground truth images, achieving superior consistency and fewer artifacts.
PointGT allows for seamless editing of 3D geometry and texture, overcoming the limitations of traditional volumetric methods.
By weighting model rollouts based on predicted confidence, WIMLE achieves state-of-the-art sample efficiency in model-based RL, outperforming existing methods on complex continuous control tasks.
