Cover Image

Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bai, Lichen, Shao, Shitong, Zhou, Zikai, Qi, Zipeng, Xu, Zhiqiang, Xiong, Haoyi, Xie, Zeke
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

IV-Mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis
by: Shao, Shitong, et al.
Published: (2024)

Reflective Flow Sampling Enhancement
by: Zhou, Zikai, et al.
Published: (2026)

Not All Noises Are Created Equally:Diffusion Noise Selection and Optimization
by: Qi, Zipeng, et al.
Published: (2024)

Golden Noise for Diffusion Models: A Learning Framework
by: Zhou, Zikai, et al.
Published: (2024)

PISA: Piecewise Sparse Attention Is Wiser for Efficient Diffusion Transformers
by: Li, Haopeng, et al.
Published: (2026)

Alignment of Diffusion Models: Fundamentals, Challenges, and Future
by: Liu, Buhua, et al.
Published: (2024)

Bag of Design Choices for Inference of High-Resolution Masked Generative Transformer
by: Shao, Shitong, et al.
Published: (2024)

Efficient Video Diffusion Models: Advancements and Challenges
by: Shao, Shitong, et al.
Published: (2026)

CoRe^2: Collect, Reflect and Refine to Generate Better and Faster
by: Shao, Shitong, et al.
Published: (2025)

Weak-to-Strong Diffusion with Reflection
by: Bai, Lichen, et al.
Published: (2025)

Exploring Data-Free LoRA Transferability for Video Diffusion Models
by: Wang, Yuchen, et al.
Published: (2026)

CRAFT: Aligning Diffusion Models with Fine-Tuning Is Easier Than You Think
by: Sun, Zening, et al.
Published: (2026)

LIVEditor-14B: Lightning Unified Video Editing via In-Context Sparse Attention
by: Shao, Shitong, et al.
Published: (2026)

Guidance Matters: Rethinking the Evaluation Pitfall for Text-to-Image Generation
by: Xie, Dian, et al.
Published: (2026)

Optimizing Few-Step Generation with Adaptive Matching Distillation
by: Bai, Lichen, et al.
Published: (2026)

A Simple and Efficient Baseline for Zero-Shot Generative Classification
by: Qi, Zipeng, et al.
Published: (2024)

FastLightGen: Fast and Light Video Generation with Fewer Steps and Parameters
by: Shao, Shitong, et al.
Published: (2026)

Elucidating the Design Space of Dataset Condensation
by: Shao, Shitong, et al.
Published: (2024)

Ctrl-Z Sampling: Scaling Diffusion Sampling with Controlled Random Zigzag Explorations
by: Mao, Shunqi, et al.
Published: (2025)

Self-supervised Dataset Distillation: A Good Compression Is All You Need
by: Zhou, Muxin, et al.
Published: (2024)

MagicDistillation: Weak-to-Strong Video Distillation for Large-Scale Few-Step Synthesis
by: Shao, Shitong, et al.
Published: (2025)

Vision-Language Models Can Self-Improve Reasoning via Reflection
by: Cheng, Kanzhi, et al.
Published: (2024)

Accelerating Diffusion Model Training under Minimal Budgets: A Condensation-Based Perspective
by: Huang, Rui, et al.
Published: (2025)

$Z^2$-Sampling: Zero-Cost Zigzag Trajectories for Semantic Alignment in Diffusion Models
by: Li, Haosen, et al.
Published: (2026)

Rethinking Centered Kernel Alignment in Knowledge Distillation
by: Zhou, Zikai, et al.
Published: (2024)

FrequencyBooster: Full-Frequency Modeling for High-Fidelity Pixel Diffusion
by: Ma, Lichen, et al.
Published: (2026)

Foresight Diffusion: Improving Sampling Consistency in Predictive Diffusion Models
by: Zhang, Yu, et al.
Published: (2025)

Precise Knowledge Transfer via Flow Matching
by: Shao, Shitong, et al.
Published: (2024)

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation
by: Pan, Jiadong, et al.
Published: (2025)

Layered Rendering Diffusion Model for Controllable Zero-Shot Image Synthesis
by: Qi, Zipeng, et al.
Published: (2023)

Can We Achieve Efficient Diffusion without Self-Attention? Distilling Self-Attention into Convolutions
by: Dong, ZiYi, et al.
Published: (2025)

AutoRefiner: Improving Autoregressive Video Diffusion Models via Reflective Refinement Over the Stochastic Sampling Path
by: Yu, Zhengyang, et al.
Published: (2025)

HyperDiT: Hyper-Connected Transformers for High-Fidelity Pixel-Space Diffusion
by: He, Yu, et al.
Published: (2026)

SHMT: Self-supervised Hierarchical Makeup Transfer via Latent Diffusion Models
by: Sun, Zhaoyang, et al.
Published: (2024)

Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching
by: Shao, Shitong, et al.
Published: (2023)

DiffusionLane: Diffusion Model for Lane Detection
by: Zhou, Kunyang, et al.
Published: (2025)

DiffusionTrack: Diffusion Model For Multi-Object Tracking
by: Luo, Run, et al.
Published: (2023)

SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI
by: Cui, Zhuo-Xu, et al.
Published: (2023)

Analyzing and Improving Fast Sampling of Text-to-Image Diffusion Models
by: Zhou, Zhenyu, et al.
Published: (2026)

Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning
by: Li, Xiang, et al.
Published: (2023)