Information Capacity of Generative Video Compression: Quantifying the Rate-Compute Exchange at Identical Quality

arXiv:2609.27493 · cs.CV · Submitted 2026-09-23 · Read on arXiv

cs.CV

Submitted: 2026-09-23

Updated: 2026-09-23

Terminology

• Quantization — 2× in this paper · explained in 12 episodes
• Scaling Laws — 2× in this paper · explained in 4 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Adaptive Step Allocation — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Optical Flow — 1× in this paper · explained in 2 episodes
• Overview of the High Efficiency Video Coding — 1× in this paper

Sources

• Scaling Laws for Neural Language Models
• Information Capacity: Evaluating the Efficiency of Large Language Models via Text Compression
• Wan: Open and Advanced Large-Scale Video Generative Models
• TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models

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