Cover Image

DiffRatio: Training One-Step Diffusion Models Without Teacher Supervision

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Wenlin, Zhang, Mingtian, He, Jiajun, Ou, Zijing, Hernández-Lobato, José Miguel, Schölkopf, Bernhard, Barber, David
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Training Neural Samplers with Reverse Diffusive KL Divergence
by: He, Jiajun, et al.
Published: (2024)

VarDiU: A Variational Diffusive Upper Bound for One-Step Diffusion Distillation
by: Wang, Leyang, et al.
Published: (2025)

Diffusive Gibbs Sampling
by: Chen, Wenlin, et al.
Published: (2024)

Teacher-Feature Drifting: One-Step Diffusion Distillation with Pretrained Diffusion Representations
by: Zhang, Yuan, et al.
Published: (2026)

Improving Probabilistic Diffusion Models With Optimal Diagonal Covariance Matching
by: Ou, Zijing, et al.
Published: (2024)

BokehDiff: Neural Lens Blur with One-Step Diffusion
by: Zhu, Chengxuan, et al.
Published: (2025)

Progressive Tempering Sampler with Diffusion
by: Rissanen, Severi, et al.
Published: (2025)

Training-Free Vector Quantization via Gaussian VAEs
by: Xu, Tongda, et al.
Published: (2025)

DiffVC-OSD: One-Step Diffusion-based Perceptual Neural Video Compression Framework
by: Ma, Wenzhuo, et al.
Published: (2025)

Self-Supervised One-Step Diffusion Refinement for Snapshot Compressive Imaging
by: Huang, Shaoguang, et al.
Published: (2024)

DiffMM: Efficient Method for Accurate Noisy and Sparse Trajectory Map Matching via One Step Diffusion
by: Han, Chenxu, et al.
Published: (2026)

Diffusion Adversarial Post-Training for One-Step Video Generation
by: Lin, Shanchuan, et al.
Published: (2025)

AdaDiff: Adaptive Step Selection for Fast Diffusion Models
by: Zhang, Hui, et al.
Published: (2023)

SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow
by: Zhu, Yuanzhi, et al.
Published: (2024)

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision
by: Yan, Weicai, et al.
Published: (2025)

One-Step Diffusion Model for Image Motion-Deblurring
by: Liu, Xiaoyang, et al.
Published: (2025)

Diffusion-Based Representation Learning
by: Mittal, Sarthak, et al.
Published: (2021)

OBS-Diff: Accurate Pruning For Diffusion Models in One-Shot
by: Zhu, Junhan, et al.
Published: (2025)

AdaDiff: Accelerating Diffusion Models through Step-Wise Adaptive Computation
by: Tang, Shengkun, et al.
Published: (2023)

Free energy Estimation on Any State Space
by: He, Jiajun, et al.
Published: (2026)

LongDiff: Training-Free Long Video Generation in One Go
by: Li, Zhuoling, et al.
Published: (2025)

One-Step Late Fusion Multi-view Clustering with Compressed Subspace
by: Ou, Qiyuan, et al.
Published: (2024)

DiffBench Meets DiffAgent: End-to-End LLM-Driven Diffusion Acceleration Code Generation
by: jiao, Jiajun, et al.
Published: (2026)

SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-Training
by: Wang, Jianyi, et al.
Published: (2025)

Semi-Supervised Biomedical Image Segmentation via Diffusion Models and Teacher-Student Co-Training
by: Ciampi, Luca, et al.
Published: (2025)

Angio-Diff: Learning a Self-Supervised Adversarial Diffusion Model for Angiographic Geometry Generation
by: Wang, Zhifeng, et al.
Published: (2025)

Diffusion Models Are Innate One-Step Generators
by: Zheng, Bowen, et al.
Published: (2024)

One-Step Diffusion for Perceptual Image Compression
by: Jia, Yiwen, et al.
Published: (2026)

DiffInf: Influence-Guided Diffusion for Supervision Alignment in Facial Attribute Learning
by: Pal, Basudha, et al.
Published: (2026)

One Step Diffusion-based Super-Resolution with Time-Aware Distillation
by: He, Xiao, et al.
Published: (2024)

One Step Diffusion via Shortcut Models
by: Frans, Kevin, et al.
Published: (2024)

OSDFace: One-Step Diffusion Model for Face Restoration
by: Wang, Jingkai, et al.
Published: (2024)

Adversarial Concept Distillation for One-Step Diffusion Personalization
by: Yang, Yixiong, et al.
Published: (2025)

Flash-GRPO: Efficient Alignment for Video Diffusion via One-Step Policy Optimization
by: He, Xiaoxuan, et al.
Published: (2026)

Hyperbolic Busemann Neural Networks
by: Chen, Ziheng, et al.
Published: (2026)

Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step
by: Zhou, Mingyuan, et al.
Published: (2024)

PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-Resolution
by: Zhu, Libo, et al.
Published: (2024)

InverFill: One-Step Inversion for Enhanced Few-Step Diffusion Inpainting
by: Vu, Duc, et al.
Published: (2026)

Self-Supervised Disentanglement by Leveraging Structure in Data Augmentations
by: Eastwood, Cian, et al.
Published: (2023)

HarmoniDiff-RS: Training-Free Diffusion Harmonization for Satellite Image Composition
by: Zhuang, Xiaoqi, et al.
Published: (2026)