Generative models have rapidly pushed content creation be-yond 2D imagery toward dynamic 3D and 4D scene synthesis. Yet pro-ducing realistic and temporally stable 4D content from a single image is still difficult because one view provides limited structural cues and weak motion evidence. We introduce MATE4D, a framewor...
PointPiT is proposed, a partition-invariant tuning framework for scene-level point clouds that integrates local geometric patterns with global scene context to mitigate partition-induced representation shifts, and achieves consistent state-of-the-art performance among representative PEFT methods.
Hong-Qiang Lin, Tian-Le Wang, Shui-Wang Li et al.· 0 citations
MoSaiC, a novel Motion-Saliency Complementary masked modeling framework for self-supervised point cloud video representation learning, couples three components: Curriculum Motion-Saliency Masking (CMSM), which guides the masking process toward motion-salient tokens under a curriculum schedule; Normal-Flow Motion (NFM)...
Wei Wang, Yi-Ding Sun, Yuying Wang et al.· 0 citations
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