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3D Assembly Completion

AAAI 2023 · 3D vision › 3D generation · approach: Learning physics from video · 5 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use FiT's transformer-based part-relation modeling instead of DGL's graph neural network modules3D assembly completion · Original toolkit, k=1, ChairPA (%): 62.13 -> 70.71Helped
Use FiT's transformer-based part-relation modeling instead of DGL's graph neural network modules3D assembly completion · Original toolkit, k=1, ChairMA (%): 91.05 -> 92.93Helped
Add pose concatenation at the encoder and memory stages (ablation)FiT · Original toolkit, k=1, ChairPA (%): 52.93 -> 70.71Helped
Add symmetric transformation consistency loss Lsym (ablation)FiT · Original toolkit, k=1, ChairPA (%): 66.96 -> 70.71Helped
Add symmetric transformation consistency loss Lsym (ablation)FiT · Original toolkit, k=1, ChairCA (%): 56.31 -> 62.22Helped
Add translation loss Lt (ablation)FiT · Original toolkit, k=1, ChairMA (%): 86.16 -> 92.93Helped
Add rotation loss Lr (ablation)FiT · Original toolkit, k=1, ChairPA (%): 67.56 -> 70.71Helped
Add shape Chamfer loss Ls (ablation)FiT · Original toolkit, k=1, ChairPA (%): 67.95 -> 70.71Helped
Jointly train candidate matching and pose prediction instead of either task alone (ablation)FiT · Original toolkit, k=1, ChairMA (%): 84.67 -> 92.93Helped
Jointly train candidate matching and pose prediction instead of pose prediction alone (ablation)FiT · Original toolkit, k=1, ChairPA (%): 51.05 -> 70.71Helped
Use 3 encoder and decoder layers rather than 2 (ablation)FiT · Original toolkit, k=1, ChairPA (%): 67.99 -> 70.71Helped
Use 3 encoder and decoder layers rather than 6 (ablation)FiT · Original toolkit, k=1, ChairPA (%): 67.42 -> 70.71Helped

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