LiFT: Loop Flow Transformers
cs.LG, cs.AI
Submitted: 2026-10-04
Updated: 2026-10-04
Terminology
Sources
- Scalable Diffusion Models with Transformers
- Movie Gen: A Cast of Media Foundation Models
- Cosmos World Foundation Model Platform for Physical AI
- Universal Transformers
- Flow Matching for Generative Modeling
- Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
- Building Normalizing Flows with Stochastic Interpolants
- Restart Sampling for Improving Generative Processes
- Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps
- ELT: Elastic Looped Transformers for Visual Generation
- Deeply Supervised Flow-Based Generative Models
- Neural Ordinary Differential Equations
- How Model Growth, Recursion, and Boundary Operators Influence Scaling Exponents
- How Much Is One Recurrence Worth? Iso-Depth Scaling Laws for Looped Language Models
- LoopFormer: Elastic-Depth Looped Transformers for Latent Reasoning via Shortcut Modulation
- DiT-Air: Revisiting the Efficiency of Diffusion Model Architecture Design in Text to Image Generation
- Recursive Scaling in Masked Diffusion Models
- ODE$_t$(ODE$_l$): Shortcutting the Time and the Length in Diffusion and Flow Models for Faster Sampling
- Thinking with Looped Flows
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