Drift Variation Autoencoder: Unifying Generation and Representation Learning through Conditional Posterior Flow Matching
cs.LG, cs.AI
Submitted: 2026-08-25
Updated: 2026-08-25
Terminology
Sources
- DINOv2: Learning Robust Visual Features without Supervision
- Score-Based Generative Modeling through Stochastic Differential Equations
- Flow Matching for Generative Modeling
- Flow Matching Guide and Code
- Zero-Flow Encoders
- Representation Learning with Diffusion Models
- Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
- Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
- High-Performance Self-Supervised Learning by Joint Training of Flow Matching
- Self-Supervised Flow Matching for Scalable Multi-Modal Synthesis
- On Flow Matching KL Divergence
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