LatentReRig: An SDF-Based VAE with Dual Decoders for Latent-Space Deformation Conditioning

arXiv:2609.31720 · cs.CV, cs.GR · Submitted 2026-09-21 · Read on arXiv

cs.CV, cs.GR

Submitted: 2026-09-21

Updated: 2026-09-21

Terminology

• Latent Representation — 23× in this paper · explained in 2 episodes
• Consistency — 16× in this paper · explained in 3 episodes
• Latent Space — 9× in this paper · explained in 7 episodes
• Cosine Similarity — 6× in this paper · explained in 3 episodes
• Representation Learning — 6× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 5× in this paper
• Regularization — 5× in this paper · explained in 3 episodes
• Signed Distance Function — 5× in this paper
• Entanglement — 4× in this paper · explained in 3 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Failure Modes — 2× in this paper · explained in 3 episodes
• In International Conference on Learning Representations — 2× in this paper
• Adaptation — 1× in this paper · explained in 1 episode
• Decode — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Point Clouds — 1× in this paper · explained in 2 episodes
• Variational Bayes — 1× in this paper · explained in 2 episodes

Sources

• Importance Weighted Autoencoders
• Auto-Encoding Variational Bayes
• Efficient Estimation of Word Representations in Vector Space
• DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
• Preventing Posterior Collapse with delta-VAEs
• MagicArticulate: Make Your 3D Models Articulation-Ready

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