Saved in:
| Main Authors: | Song, Yanke, Lorraine, Jonathan, Nie, Weili, Kreis, Karsten, Lucas, James |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.23274 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
One-step Diffusion Models with $f$-Divergence Distribution Matching
by: Xu, Yilun, et al.
Published: (2025)
by: Xu, Yilun, et al.
Published: (2025)
Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models
by: Daras, Giannis, et al.
Published: (2024)
by: Daras, Giannis, et al.
Published: (2024)
Truncated Consistency Models
by: Lee, Sangyun, et al.
Published: (2024)
by: Lee, Sangyun, et al.
Published: (2024)
Di$\mathtt{[M]}$O: Distilling Masked Diffusion Models into One-step Generator
by: Zhu, Yuanzhi, et al.
Published: (2025)
by: Zhu, Yuanzhi, et al.
Published: (2025)
DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents
by: Xu, Yilun, et al.
Published: (2024)
by: Xu, Yilun, et al.
Published: (2024)
Transition Matching Distillation for Fast Video Generation
by: Nie, Weili, et al.
Published: (2026)
by: Nie, Weili, et al.
Published: (2026)
One-step Diffusion Models with Bregman Density Ratio Matching
by: Zhu, Yuanzhi, et al.
Published: (2025)
by: Zhu, Yuanzhi, et al.
Published: (2025)
Fast Training of Diffusion Models with Masked Transformers
by: Zheng, Hongkai, et al.
Published: (2023)
by: Zheng, Hongkai, et al.
Published: (2023)
Diff-Instruct with Diffused Reward: Towards Principled One-step Generator RL
by: Wu, Junyi, et al.
Published: (2026)
by: Wu, Junyi, et al.
Published: (2026)
Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation
by: Zhou, Mingyuan, et al.
Published: (2024)
by: Zhou, Mingyuan, et al.
Published: (2024)
Generative Dataset Distillation Based on Diffusion Model
by: Su, Duo, et al.
Published: (2024)
by: Su, Duo, et al.
Published: (2024)
Align Your Flow: Scaling Continuous-Time Flow Map Distillation
by: Sabour, Amirmojtaba, et al.
Published: (2025)
by: Sabour, Amirmojtaba, et al.
Published: (2025)
Denoising Score Distillation: From Noisy Diffusion Pretraining to One-Step High-Quality Generation
by: Chen, Tianyu, et al.
Published: (2025)
by: Chen, Tianyu, et al.
Published: (2025)
One-Step Diffusion Distillation through Score Implicit Matching
by: Luo, Weijian, et al.
Published: (2024)
by: Luo, Weijian, et al.
Published: (2024)
Compositional Text-to-Image Generation with Dense Blob Representations
by: Nie, Weili, et al.
Published: (2024)
by: Nie, Weili, et al.
Published: (2024)
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture
by: Xiang, Qianlong, et al.
Published: (2024)
by: Xiang, Qianlong, et al.
Published: (2024)
Improved Diffusion-based Generative Model with Better Adversarial Robustness
by: Wang, Zekun, et al.
Published: (2025)
by: Wang, Zekun, et al.
Published: (2025)
Continual Learning of Diffusion Models with Generative Distillation
by: Masip, Sergi, et al.
Published: (2023)
by: Masip, Sergi, et al.
Published: (2023)
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models
by: Sabour, Amirmojtaba, et al.
Published: (2024)
by: Sabour, Amirmojtaba, et al.
Published: (2024)
Diff-Instruct++: Training One-step Text-to-image Generator Model to Align with Human Preferences
by: Luo, Weijian
Published: (2024)
by: Luo, Weijian
Published: (2024)
David and Goliath: Small One-step Model Beats Large Diffusion with Score Post-training
by: Luo, Weijian, et al.
Published: (2024)
by: Luo, Weijian, et al.
Published: (2024)
Variance Reduction for Expectations with Diffusion Teachers
by: Bettencourt, Jesse, et al.
Published: (2026)
by: Bettencourt, Jesse, et al.
Published: (2026)
Diffusion Adversarial Post-Training for One-Step Video Generation
by: Lin, Shanchuan, et al.
Published: (2025)
by: Lin, Shanchuan, et al.
Published: (2025)
CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image Generation
by: Mei, Kangfu, et al.
Published: (2023)
by: Mei, Kangfu, et al.
Published: (2023)
Unlocking Dataset Distillation with Diffusion Models
by: Moser, Brian B., et al.
Published: (2024)
by: Moser, Brian B., et al.
Published: (2024)
High-Order Matching for One-Step Shortcut Diffusion Models
by: Chen, Bo, et al.
Published: (2025)
by: Chen, Bo, et al.
Published: (2025)
Diffusion Self-Distillation for Zero-Shot Customized Image Generation
by: Cai, Shengqu, et al.
Published: (2024)
by: Cai, Shengqu, et al.
Published: (2024)
Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory
by: Li, Mingzhuo, et al.
Published: (2025)
by: Li, Mingzhuo, et al.
Published: (2025)
Shedding Light on Large Generative Networks: Estimating Epistemic Uncertainty in Diffusion Models
by: Berry, Lucas, et al.
Published: (2024)
by: Berry, Lucas, et al.
Published: (2024)
Taming Diffusion for Dataset Distillation with High Representativeness
by: Zhao, Lin, et al.
Published: (2025)
by: Zhao, Lin, et al.
Published: (2025)
SDXL-Lightning: Progressive Adversarial Diffusion Distillation
by: Lin, Shanchuan, et al.
Published: (2024)
by: Lin, Shanchuan, et al.
Published: (2024)
Generative Dataset Distillation Based on Self-knowledge Distillation
by: Li, Longzhen, et al.
Published: (2025)
by: Li, Longzhen, et al.
Published: (2025)
DMTG: One-Shot Differentiable Multi-Task Grouping
by: Gao, Yuan, et al.
Published: (2024)
by: Gao, Yuan, et al.
Published: (2024)
Slight Corruption in Pre-training Data Makes Better Diffusion Models
by: Chen, Hao, et al.
Published: (2024)
by: Chen, Hao, et al.
Published: (2024)
Multi-Label Knowledge Distillation
by: Yang, Penghui, et al.
Published: (2023)
by: Yang, Penghui, et al.
Published: (2023)
DDIL: Diversity Enhancing Diffusion Distillation With Imitation Learning
by: Garrepalli, Risheek, et al.
Published: (2024)
by: Garrepalli, Risheek, et al.
Published: (2024)
Diffusion Reinforcement Learning via Centered Reward Distillation
by: Zhu, Yuanzhi, et al.
Published: (2026)
by: Zhu, Yuanzhi, et al.
Published: (2026)
VARestorer: One-Step VAR Distillation for Real-World Image Super-Resolution
by: Zhu, Yixuan, et al.
Published: (2026)
by: Zhu, Yixuan, et al.
Published: (2026)
Multistep Distillation of Diffusion Models via Moment Matching
by: Salimans, Tim, et al.
Published: (2024)
by: Salimans, Tim, et al.
Published: (2024)
Scaffold Diffusion: Sparse Multi-Category Voxel Structure Generation with Discrete Diffusion
by: Jung, Justin
Published: (2025)
by: Jung, Justin
Published: (2025)
Similar Items
-
One-step Diffusion Models with $f$-Divergence Distribution Matching
by: Xu, Yilun, et al.
Published: (2025) -
Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models
by: Daras, Giannis, et al.
Published: (2024) -
Truncated Consistency Models
by: Lee, Sangyun, et al.
Published: (2024) -
Di$\mathtt{[M]}$O: Distilling Masked Diffusion Models into One-step Generator
by: Zhu, Yuanzhi, et al.
Published: (2025) -
DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents
by: Xu, Yilun, et al.
Published: (2024)