Long-Tail Adaptive Flow Matching with Explicit Conditional Consistency Guidance for Precise Multimodal Face Synthesis

arXiv:2609.29581 · cs.CV · Submitted 2026-09-14 · Read on arXiv

cs.CV

Submitted: 2026-09-14

Updated: 2026-09-14

Code: https://github.com/black-forest-labs/flux

Terminology

• Consistency — 58× in this paper · explained in 3 episodes
• Alignment — 25× in this paper · explained in 1 episode
• Flow Matching — 17× in this paper · explained in 8 episodes
• Diffusion Model — 15× in this paper · explained in 8 episodes
• Semantic Alignment — 15× in this paper · explained in 3 episodes
• Diffusion Models — 14× in this paper · explained in 6 episodes
• Accuracy — 12× in this paper · explained in 1 episode
• Transformer — 9× in this paper · explained in 2 episodes
• Explicit Conditional Consistency Guidance — 7× in this paper
• Robustness — 6× in this paper · explained in 5 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Ablation study — 3× in this paper · explained in 1 episode
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Generalization — 3× in this paper · explained in 13 episodes
• Latent Diffusion Model — 3× in this paper · explained in 2 episodes
• Latent Diffusion Models — 3× in this paper · explained in 2 episodes
• Latent Space — 3× in this paper · explained in 7 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Computational overhead — 2× in this paper · explained in 2 episodes
• Fidelity — 2× in this paper · explained in 2 episodes
• Generative Adversarial Networks (GANs) — 2× in this paper · explained in 3 episodes
• Rectified Flow — 2× in this paper · explained in 3 episodes
• Segmentation Masks — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Adaptability — 1× in this paper · explained in 1 episode
• Analyzer — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• LoRA Fine-Tuning — 1× in this paper · explained in 3 episodes
• LongTail Adaptive Flow Matching — 1× in this paper
• Mode Collapse — 1× in this paper · explained in 2 episodes
• Multimodal Inputs — 1× in this paper · explained in 2 episodes
• Parameter-Efficient Fine-Tuning — 1× in this paper · explained in 2 episodes
• Redundancy — 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 Drift — 1× in this paper · explained in 3 episodes

Sources

• ControlNeXt: Powerful and Efficient Control for Image and Video Generation
• Flow Matching in Latent Space
• LoRA: Low-Rank Adaptation of Large Language Models

Related papers

• Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
• AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
• Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
• MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
• TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
• A Survey on Efficient Vision-Language-Action Models