SemanTok: Predictable Semantic Tokens for Efficient Autoregressive Video Generation

arXiv:2610.00686 · cs.CV, cs.LG · Submitted 2026-09-30 · Read on arXiv

cs.CV, cs.LG

Submitted: 2026-09-30

Updated: 2026-09-30

Project page: https://semantoken.github.io

Terminology

• Alignment — 43× in this paper · explained in 1 episode
• Fidelity — 35× in this paper · explained in 2 episodes
• Accuracy — 31× in this paper · explained in 1 episode
• Semantic Alignment — 30× in this paper · explained in 3 episodes
• Transformer — 5× in this paper · explained in 2 episodes
• Cosine Similarity — 4× in this paper · explained in 3 episodes
• Tokenization — 4× in this paper · explained in 2 episodes
• World Model — 4× in this paper · explained in 7 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Diffusion Model — 3× in this paper · explained in 8 episodes
• Diffusion Models — 3× in this paper · explained in 6 episodes
• Decode — 2× in this paper · explained in 2 episodes
• Flow Matching — 2× in this paper · explained in 8 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Quantization — 2× in this paper · explained in 12 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes
• Temporal consistency — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
• VideoFlexTok: Flexible-Length Coarse-to-Fine Video Tokenization
• Improving Flexible Image Tokenizers for Autoregressive Image Generation
• Cosmos World Foundation Model Platform for Physical AI
• VidTok: A Versatile and Open-Source Video Tokenizer
• SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
• VideoGPT: Video Generation using VQ-VAE and Transformers

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