Cover Image

Elucidating the Design Space of Arbitrary-Noise-Based Diffusion Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Qiu, Xingyu, Yang, Mengying, Ma, Xinghua, Liang, Dong, Li, Fanding, Luo, Gongning, Wang, Wei, Wang, Kuanquan, Li, Shuo
Format:	Preprint
Published:	2025
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

Finding Local Diffusion Schrödinger Bridge using Kolmogorov-Arnold Network
by: Qiu, Xingyu, et al.
Published: (2025)

Fully Kolmogorov-Arnold Deep Model in Medical Image Segmentation
by: Qiu, Xingyu, et al.
Published: (2026)

Ambiguity-aware Truncated Flow Matching for Ambiguous Medical Image Segmentation
by: Li, Fanding, et al.
Published: (2025)

Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction
by: Liang, Dong, et al.
Published: (2025)

MedFILIP: Medical Fine-grained Language-Image Pre-training
by: Liang, Xinjie, et al.
Published: (2025)

PCA-Enhanced Probabilistic U-Net for Effective Ambiguous Medical Image Segmentation
by: Li, Xiangyu, et al.
Published: (2026)

mRAG: Elucidating the Design Space of Multi-modal Retrieval-Augmented Generation
by: Hu, Chan-Wei, et al.
Published: (2025)

MedTri: A Platform for Structured Medical Report Normalization to Enhance Vision-Language Pretraining
by: Chu, Yuetan, et al.
Published: (2026)

Elucidating the Design Space of Flow Matching for Cellular Microscopy
by: Jones, Charles, et al.
Published: (2026)

Accelerating Diffusion Transformer via Error-Optimized Cache
by: Qiu, Junxiang, et al.
Published: (2025)

Revisiting Data Scaling in Medical Image Segmentation via Topology-Aware Augmentation
by: Chu, Yuetan, et al.
Published: (2025)

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

AHAP: Reconstructing Arbitrary Humans from Arbitrary Perspectives with Geometric Priors
by: Qiao, Xiaozhen, et al.
Published: (2026)

Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge
by: Luo, Gongning, et al.
Published: (2023)

DTBS: Dual-Teacher Bi-directional Self-training for Domain Adaptation in Nighttime Semantic Segmentation
by: Huang, Fanding, et al.
Published: (2024)

Effective Cloud Removal for Remote Sensing Images by an Improved Mean-Reverting Denoising Model with Elucidated Design Space
by: Liu, Yi, et al.
Published: (2025)

Noise-Informed Diffusion-Generated Image Detection with Anomaly Attention
by: Guan, Weinan, et al.
Published: (2025)

Beyond Inserting: Learning Identity Embedding for Semantic-Fidelity Personalized Diffusion Generation
by: Li, Yang, et al.
Published: (2024)

FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling
by: Qiu, Haonan, et al.
Published: (2023)

DesignDiffusion: High-Quality Text-to-Design Image Generation with Diffusion Models
by: Wang, Zhendong, et al.
Published: (2025)

You Think, You ACT: The New Task of Arbitrary Text to Motion Generation
by: Wang, Runqi, et al.
Published: (2024)

High-Dimensional Noise to Low-Dimensional Manifolds: A Manifold-Space Diffusion Framework for Degraded Hyperspectral Image Classification
by: Yang, Boxiang, et al.
Published: (2026)

NFCDS: A Plug-and-Play Noise Frequency-Controlled Diffusion Sampling Strategy for Image Restoration
by: Wang, Zhen, et al.
Published: (2026)

RoomDiffusion: A Specialized Diffusion Model in the Interior Design Industry
by: Wang, Zhaowei, et al.
Published: (2024)

Diffuse Everything: Multimodal Diffusion Models on Arbitrary State Spaces
by: Rojas, Kevin, et al.
Published: (2025)

Noise Matters: Optimizing Matching Noise for Diffusion Classifiers
by: Wang, Yanghao, et al.
Published: (2025)

Video Emotion Open-vocabulary Recognition Based on Multimodal Large Language Model
by: Ge, Mengying, et al.
Published: (2024)

FIND: Fine-tuning Initial Noise Distribution with Policy Optimization for Diffusion Models
by: Chen, Changgu, et al.
Published: (2024)

MSC: Multi-Scale Spatio-Temporal Causal Attention for Autoregressive Video Diffusion
by: Xu, Xunnong, et al.
Published: (2024)

NoiseSDF2NoiseSDF: Learning Clean Neural Fields from Noisy Supervision
by: Wang, Tengkai, et al.
Published: (2025)

CoNo: Consistency Noise Injection for Tuning-free Long Video Diffusion
by: Wang, Xingrui, et al.
Published: (2024)

GaussianDiffusion: 3D Gaussian Splatting for Denoising Diffusion Probabilistic Models with Structured Noise
by: Li, Xinhai, et al.
Published: (2023)

Learning Spatially Decoupled Color Representations for Facial Image Colorization
by: Zhu, Hangyan, et al.
Published: (2024)

Probing Unlearned Diffusion Models: A Transferable Adversarial Attack Perspective
by: Han, Xiaoxuan, et al.
Published: (2024)

Elucidating the Exposure Bias in Diffusion Models
by: Ning, Mang, et al.
Published: (2023)

AnyRecon: Arbitrary-View 3D Reconstruction with Video Diffusion Model
by: Chen, Yutian, et al.
Published: (2026)

LoopExpose: An Unsupervised Framework for Arbitrary-Length Exposure Correction
by: Li, Ao, et al.
Published: (2025)

Weak Supervision with Arbitrary Single Frame for Micro- and Macro-expression Spotting
by: Yu, Wang-Wang, et al.
Published: (2024)

Noise Diffusion for Enhancing Semantic Faithfulness in Text-to-Image Synthesis
by: Miao, Boming, et al.
Published: (2024)

StochSync: Stochastic Diffusion Synchronization for Image Generation in Arbitrary Spaces
by: Yeo, Kyeongmin, et al.
Published: (2025)