:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Xu, Wenju
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	https://arxiv.org/abs/2508.15233
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

S$^{2}$-DMs:Skip-Step Diffusion Models
by: Wang, Yixuan, et al.
Published: (2024)

It Takes Two to Tango: Two Parallel Samplers Improve Quality in Diffusion Models for Limited Steps
by: Cisneros-Velarde, Pedro
Published: (2025)

PriSampler: Mitigating Property Inference of Diffusion Models
by: Hu, Hailong, et al.
Published: (2023)

BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models
by: Wang, Fangyikang, et al.
Published: (2024)

RBF-Solver: A Multistep Sampler for Diffusion Probabilistic Models via Radial Basis Functions
by: Park, Soochul, et al.
Published: (2026)

Always Skip Attention
by: Ji, Yiping, et al.
Published: (2025)

Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation
by: Zhou, Mingyuan, et al.
Published: (2024)

Skipping Computations in Multimodal LLMs
by: Shukor, Mustafa, et al.
Published: (2024)

Fast Samplers for Inverse Problems in Iterative Refinement Models
by: Pandey, Kushagra, et al.
Published: (2024)

SkipSR: Faster Super Resolution with Token Skipping
by: Choudhury, Rohan, et al.
Published: (2025)

Medical Semantic Segmentation with Diffusion Pretrain
by: Li, David, et al.
Published: (2025)

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

Denoising Score Distillation: From Noisy Diffusion Pretraining to One-Step High-Quality Generation
by: Chen, Tianyu, et al.
Published: (2025)

Rethinking Timesteps Samplers and Prediction Types
by: Xie, Bin, et al.
Published: (2025)

Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems
by: Chung, Hyungjin, et al.
Published: (2023)

Boost-and-Skip: A Simple Guidance-Free Diffusion for Minority Generation
by: Um, Soobin, et al.
Published: (2025)

Breaking the Likelihood-Quality Trade-off in Diffusion Models by Merging Pretrained Experts
by: Esfandiari, Yasin, et al.
Published: (2025)

MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers
by: Li, Ao, et al.
Published: (2025)

Multiplicity is an Inevitable and Inherent Challenge in Multimodal Learning
by: Chun, Sanghyuk
Published: (2025)

Towards Task Sampler Learning for Meta-Learning
by: Wang, Jingyao, et al.
Published: (2023)

DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation
by: Kim, Jeongsol, et al.
Published: (2024)

Improving Diffusion Posterior Samplers with Lagged Temporal Corrections for Image Restoration
by: Evangelista, Davide, et al.
Published: (2026)

Align Your Steps: Optimizing Sampling Schedules in Diffusion Models
by: Sabour, Amirmojtaba, et al.
Published: (2024)

One-Step Diffusion Distillation via Deep Equilibrium Models
by: Geng, Zhengyang, et al.
Published: (2023)

Skip-It? Theoretical Conditions for Layer Skipping in Vision-Language Models
by: Hartman, Max, et al.
Published: (2025)

AMO Sampler: Enhancing Text Rendering with Overshooting
by: Hu, Xixi, et al.
Published: (2024)

SkipViT: Speeding Up Vision Transformers with a Token-Level Skip Connection
by: Ataiefard, Foozhan, et al.
Published: (2024)

Aligning Few-Step Diffusion Models with Dense Reward Difference Learning
by: Zhang, Ziyi, et al.
Published: (2024)

ViBiDSampler: Enhancing Video Interpolation Using Bidirectional Diffusion Sampler
by: Yang, Serin, et al.
Published: (2024)

DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability
by: Fang, Xiaolin, et al.
Published: (2023)

MosaicDiff: Training-free Structural Pruning for Diffusion Model Acceleration Reflecting Pretraining Dynamics
by: Guo, Bowei, et al.
Published: (2025)

Toward Inherently Robust VLMs Against Visual Perception Attacks
by: MohajerAnsari, Pedram, et al.
Published: (2025)

Step-by-Step Diffusion: An Elementary Tutorial
by: Nakkiran, Preetum, et al.
Published: (2024)

DiffRatio: Training One-Step Diffusion Models Without Teacher Supervision
by: Chen, Wenlin, et al.
Published: (2025)

Discriminative Feature Attributions: Bridging Post Hoc Explainability and Inherent Interpretability
by: Bhalla, Usha, et al.
Published: (2023)

Simplifying Knowledge Transfer in Pretrained Models
by: Jain, Siddharth, et al.
Published: (2025)

Few-Step Diffusion via Score identity Distillation
by: Zhou, Mingyuan, et al.
Published: (2025)

Pretrain Where? Investigating How Pretraining Data Diversity Impacts Geospatial Foundation Model Performance
by: Kaur, Amandeep, et al.
Published: (2026)

ReDiF: Reinforced Distillation for Few Step Diffusion
by: Tighkhorshid, Amirhossein, et al.
Published: (2025)

Skip \n: A Simple Method to Reduce Hallucination in Large Vision-Language Models
by: Han, Zongbo, et al.
Published: (2024)