Joint Branch-Space Transform Coding for Diffusion Activation Quantization with Classifier-Free Guidance

arXiv:2610.00930 · cs.CV, stat.ML · Submitted 2026-10-01 · Read on arXiv

cs.CV, stat.ML

Submitted: 2026-10-01

Updated: 2026-10-01

Terminology

• Quantization — 63× in this paper · explained in 12 episodes
• Calibration — 28× in this paper · explained in 7 episodes
• Fidelity — 24× in this paper · explained in 2 episodes
• Diffusion Model — 11× in this paper · explained in 8 episodes
• Diffusion Models — 11× in this paper · explained in 6 episodes
• Transformer — 9× in this paper · explained in 2 episodes
• Ablation — 8× in this paper · explained in 1 episode
• Guidance-Correlation Branch Transform — 5× in this paper
• Consistency — 2× in this paper · explained in 3 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Rectified Flow — 1× in this paper · explained in 3 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• Classifier-Free Diffusion Guidance
• OrbitQuant: Data-Agnostic Quantization for Image and Video Diffusion Transformers
• Closing the Null Space: Guidance-Aware Quantization for Classifier-Free Diffusion
• Wan: Open and Advanced Large-Scale Video Generative Models
• SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers
• Open-Sora: Democratizing Efficient Video Production for All

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