FoMo: Forking Moment in Generative Trajectory as a Perceptual Distance

arXiv:2609.25716 · cs.CV · Submitted 2026-09-22 · Read on arXiv

cs.CV

Submitted: 2026-09-22

Updated: 2026-09-22

Code: https://github.com/JHLew/FoMo

Terminology

• Benchmark — 28× in this paper · explained in 2 episodes
• Transformer — 27× in this paper · explained in 2 episodes
• Diffusion Model — 21× in this paper · explained in 8 episodes
• Diffusion Models — 15× in this paper · explained in 6 episodes
• Objective Function — 7× in this paper · explained in 2 episodes
• Rectified Flow — 4× in this paper · explained in 3 episodes
• Flow Matching — 3× in this paper · explained in 8 episodes
• Grounding — 3× in this paper · explained in 3 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Consistency — 2× in this paper · explained in 3 episodes
• Contrastive Learning — 2× in this paper · explained in 5 episodes
• Data Augmentation — 2× in this paper · explained in 7 episodes
• Generalizability — 2× in this paper · explained in 6 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Generative Modeling — 2× in this paper · explained in 3 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• Latent Diffusion Model — 2× in this paper · explained in 2 episodes
• Latent Diffusion Models — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Spearman Rank Order Correlation Coefficient — 2× in this paper
• Ablation — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Annotator Agreement — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Diffusion Process — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Mean Opinion Scores — 1× in this paper

Sources

• On the Importance of Noise Scheduling for Diffusion Models
• GMC-IQA: Exploiting Global-correlation and Mean-opinion Consistency for No-reference Image Quality Assessment
• LoRA: Low-Rank Adaptation of Large Language Models
• DINOv3

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