Emergent Multi-View Geometry Through Self-Distillation

arXiv:2609.39227 · cs.CV, cs.AI · Submitted 2026-09-30 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-09-30

Updated: 2026-09-30

Code: https://github.com/davnords/poincar3

Terminology

• Distillation — 28× in this paper · explained in 2 episodes
• Self-Distillation — 24× in this paper · explained in 7 episodes
• Transformer — 20× in this paper · explained in 2 episodes
• Accuracy — 14× in this paper · explained in 1 episode
• Self-Supervised Learning — 9× in this paper · explained in 8 episodes
• Representation Learning — 8× in this paper · explained in 2 episodes
• Regularization — 7× in this paper · explained in 3 episodes
• AUC — 6× in this paper · explained in 2 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Consistency — 5× in this paper · explained in 3 episodes
• Clustering — 4× in this paper · explained in 2 episodes
• Foundation Model — 4× in this paper · explained in 3 episodes
• Cosine Similarity — 3× in this paper · explained in 3 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• Foundation Models — 3× in this paper · explained in 7 episodes
• Linear probe — 3× in this paper · explained in 2 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Contrastive Learning — 2× in this paper · explained in 5 episodes
• Core — 2× in this paper · explained in 2 episodes
• Optical Flow — 2× in this paper · explained in 2 episodes
• Self-Supervised Learning (SSL) — 2× in this paper · explained in 4 episodes
• 9D Pose — 1× in this paper · explained in 1 episode
• Ablation Studies — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Linear Probing — 1× in this paper · explained in 2 episodes
• Predictive Coding — 1× in this paper · explained in 2 episodes
• Reconstruction Error — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
• Virtual KITTI 2
• SeeSE3: Emergence of 3D Space in Vision Features
• Cluster and Predict Latent Patches for Improved Masked Image Modeling
• Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
• Self-Improving 4D Perception via Self-Distillation
• HunyuanVideo: A Systematic Framework For Large Video Generative Models
• Muskie: Multi-view Masked Image Modeling for 3D Vision Pre-training
• RoFormer: Enhanced Transformer with Rotary Position Embedding
• Representation Learning with Contrastive Predictive Coding
• Stereo Magnification: Learning View Synthesis using Multiplane Images

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