Cover Image

GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gao, Xin, Liu, Jiyao, Li, Guanghao, Lyu, Yueming, Gao, Jianxiong, Yu, Weichen, Xu, Ningsheng, Wang, Liang, Shan, Caifeng, Liu, Ziwei, Si, Chenyang
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SafeRBench: Dissecting the Reasoning Safety of Large Language Models
by: Gao, Xin, et al.
Published: (2025)

NGM: A Plug-and-Play Training-Free Memory Module for LLMs
by: Qu, Yuwen, et al.
Published: (2026)

One-to-More: High-Fidelity Training-Free Anomaly Generation with Attention Control
by: Rao, Haoxiang, et al.
Published: (2026)

LongVie: Multimodal-Guided Controllable Ultra-Long Video Generation
by: Gao, Jianxiong, et al.
Published: (2025)

FreeMorph: Tuning-Free Generalized Image Morphing with Diffusion Model
by: Cao, Yukang, et al.
Published: (2025)

An Effective End-to-End Solution for Multimodal Action Recognition
by: Wang, Songping, et al.
Published: (2025)

Exploring Adversarial Transferability between Kolmogorov-arnold Networks
by: Wang, Songping, et al.
Published: (2025)

Fast Adversarial Training with Weak-to-Strong Spatial-Temporal Consistency in the Frequency Domain on Videos
by: Wang, Songping, et al.
Published: (2025)

FreeInit: Bridging Initialization Gap in Video Diffusion Models
by: Wu, Tianxing, et al.
Published: (2023)

Exposing and Defending the Achilles' Heel of Video Mixture-of-Experts
by: Wang, Songping, et al.
Published: (2026)

FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality
by: Lv, Zhengyao, et al.
Published: (2024)

Slowly Annealed Langevin Dynamics: Theory and Applications to Training-Free Guided Generation
by: Nitanda, Atsushi, et al.
Published: (2026)

Adversarial Training: Enhancing Out-of-Distribution Generalization for Learning Wireless Resource Allocation
by: Liu, Shengjie, et al.
Published: (2025)

Towards Real-Time Fake News Detection under Evidence Scarcity
by: Wei, Guangyu, et al.
Published: (2025)

RepVideo: Rethinking Cross-Layer Representation for Video Generation
by: Si, Chenyang, et al.
Published: (2025)

Multi-modal MRI Translation via Evidential Regression and Distribution Calibration
by: Liu, Jiyao, et al.
Published: (2024)

RADAR: Defending RAG Dynamically against Retrieval Corruption
by: Chen, Ziyuan, et al.
Published: (2026)

Anti-Aesthetics: Protecting Facial Privacy against Customized Text-to-Image Synthesis
by: Wang, Songping, et al.
Published: (2025)

Decoupling Training-Free Guided Diffusion by ADMM
by: Zhang, Youyuan, et al.
Published: (2024)

Generalized Out-of-Distribution Detection: A Survey
by: Yang, Jingkang, et al.
Published: (2021)

RunawayEvil: Jailbreaking the Image-to-Video Generative Models
by: Wang, Songping, et al.
Published: (2025)

NOVA: Sparse Control, Dense Synthesis for Pair-Free Video Editing
by: Pan, Tianlin, et al.
Published: (2026)

Open World MRI Reconstruction with Bias-Calibrated Adaptation
by: Liu, Jiyao, et al.
Published: (2026)

LongVie 2: Multimodal Controllable Ultra-Long Video World Model
by: Gao, Jianxiong, et al.
Published: (2025)

PosterCopilot: Toward Layout Reasoning and Controllable Editing for Professional Graphic Design
by: Wei, Jiazhe, et al.
Published: (2025)

Component-Based Out-of-Distribution Detection
by: Liu, Wenrui, et al.
Published: (2026)

'No' Matters: Out-of-Distribution Detection in Multimodality Long Dialogue
by: Gao, Rena, et al.
Published: (2024)

Video Coding with Cross-Component Sample Offset
by: Gao, Han, et al.
Published: (2024)

Exploiting Diffusion Prior for Out-of-Distribution Detection
by: Zhu, Armando, et al.
Published: (2024)

Revisiting Logit Distributions for Reliable Out-of-Distribution Detection
by: Liang, Jiachen, et al.
Published: (2025)

MedQ-Engine: A Closed-Loop Data Engine for Evolving MLLMs in Medical Image Quality Assessment
by: Liu, Jiyao, et al.
Published: (2026)

MedQ-UNI: Toward Unified Medical Image Quality Assessment and Restoration via Vision-Language Modeling
by: Liu, Jiyao, et al.
Published: (2026)

Estimation of Out-of-Sample Sharpe Ratio for High Dimensional Portfolio Optimization
by: Meng, Xuran, et al.
Published: (2024)

CFG-Zero*: Improved Classifier-Free Guidance for Flow Matching Models
by: Fan, Weichen, et al.
Published: (2025)

Predictive Sample Assignment for Semantically Coherent Out-of-Distribution Detection
by: Peng, Zhimao, et al.
Published: (2025)

DeltaSpace: A Semantic-aligned Feature Space for Flexible Text-guided Image Editing
by: Lyu, Yueming, et al.
Published: (2023)

Mitral Regurgitation Recognition based on Unsupervised Out-of-Distribution Detection with Residual Diffusion Amplification
by: Liu, Zhe, et al.
Published: (2024)

Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection
by: Hou, Yue, et al.
Published: (2025)

HG3-NeRF: Hierarchical Geometric, Semantic, and Photometric Guided Neural Radiance Fields for Sparse View Inputs
by: Gao, Zelin, et al.
Published: (2024)

Training-Free Out-Of-Distribution Segmentation With Foundation Models
by: Nayal, Laith, et al.
Published: (2025)