Structured Residual Connectivity Matters for Diffusion Transformers

arXiv:2609.33203 · cs.CV · Submitted 2026-09-27 · Read on arXiv

cs.CV

Submitted: 2026-09-27

Updated: 2026-09-27

Terminology

• Transformer — 34× in this paper · explained in 2 episodes
• Fine-Tuning — 11× in this paper · explained in 5 episodes
• Diffusion Model — 8× in this paper · explained in 8 episodes
• Diffusion Models — 8× in this paper · explained in 6 episodes
• Generative Model — 8× in this paper · explained in 2 episodes
• Generative Models — 7× in this paper · explained in 2 episodes
• Alignment — 6× in this paper · explained in 1 episode
• Generative Modeling — 6× in this paper · explained in 3 episodes
• Aggregation — 5× in this paper · explained in 1 episode
• Ablation — 4× in this paper · explained in 1 episode
• Cosine Similarity — 4× in this paper · explained in 3 episodes
• Distillation — 3× in this paper · explained in 2 episodes
• Gradient Flow — 3× in this paper · explained in 2 episodes
• Abstraction — 2× in this paper · explained in 1 episode
• Fidelity — 2× in this paper · explained in 2 episodes
• Homogenization — 2× in this paper · explained in 2 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Inception Score — 1× in this paper
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Quantization — 1× in this paper · explained in 12 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Structural Integrity — 1× in this paper · explained in 3 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes
• Variational Bayes — 1× in this paper · explained in 2 episodes

Sources

• Auto-Encoding Variational Bayes
• Gated Condition Injection without Multimodal Attention: Towards Controllable Linear-Attention Transformers
• Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free
• Progressive Distillation for Fast Sampling of Diffusion Models
• Denoising Diffusion Implicit Models
• Score-Based Generative Modeling through Stochastic Differential Equations
• Highway Networks
• SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers
• mHC: Manifold-Constrained Hyper-Connections
• Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
• xHC: Expanded Hyper-Connections
• Few-Step Diffusion via Score identity Distillation
• Hyper-Connections

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