ReAL: Accelerating Flow Matching through Segment Advancement with Shared Lookahead

arXiv:2609.33202 · cs.CV · Submitted 2026-09-27 · Read on arXiv

cs.CV

Submitted: 2026-09-27

Updated: 2026-09-27

Terminology

• Diffusion Model — 20× in this paper · explained in 8 episodes
• Consistency — 19× in this paper · explained in 3 episodes
• Diffusion Models — 18× in this paper · explained in 6 episodes
• Verification — 15× in this paper · explained in 2 episodes
• Transformer — 11× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 10× in this paper
• In International Conference on Learning Representations — 8× in this paper
• International Conference on Machine Learning — 6× in this paper
• Trace — 6× in this paper · explained in 2 episodes
• Flow Matching — 5× in this paper · explained in 8 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Calibration — 4× in this paper · explained in 7 episodes
• Distillation — 4× in this paper · explained in 2 episodes
• Generative Model — 4× in this paper · explained in 2 episodes
• Generative Models — 4× in this paper · explained in 3 episodes
• Rectified Flow — 4× in this paper · explained in 3 episodes
• Adaptation — 3× in this paper · explained in 1 episode
• Benchmark — 3× in this paper · explained in 2 episodes
• Provenance — 3× in this paper · explained in 4 episodes
• CVF International Conference on Computer Vision — 2× in this paper
• Embeddings — 2× in this paper · explained in 2 episodes
• Generative Modeling — 2× in this paper · explained in 3 episodes
• In European Conference on Computer Vision — 2× in this paper
• alpha — 2× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Fidelity — 1× in this paper · explained in 2 episodes
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• Normalizing Flow — 1× in this paper · explained in 3 episodes
• Normalizing Flows — 1× in this paper · explained in 4 episodes
• Speculative Decoding — 1× in this paper · explained in 2 episodes
• Transformer Models — 1× in this paper · explained in 2 episodes

Sources

• HunyuanVideo: A Systematic Framework For Large Video Generative Models
• Step1X-Edit: A Practical Framework for General Image Editing
• Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
• SAFE-DiT: Semantics-Aware Fast-path Execution for High-Resolution Diffusion Transformers

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