Imagen de Portada

Taming Score-Based Denoisers in ADMM: A Convergent Plug-and-Play Framework

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Shrestha, Rajesh, Fu, Xiao
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

BEVDiffuser: Plug-and-Play Diffusion Model for BEV Denoising with Ground-Truth Guidance
por: Ye, Xin, et al.
Publicado: (2025)

Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching Approach
por: Shrestha, Sagar, et al.
Publicado: (2024)

The Loupe: A Plug-and-Play Attention Module for Amplifying Discriminative Features in Vision Transformers
por: Sengodan, Naren
Publicado: (2025)

HiGS: History-Guided Sampling for Plug-and-Play Enhancement of Diffusion Models
por: Sadat, Seyedmorteza, et al.
Publicado: (2025)

PromptLoop: Plug-and-Play Prompt Refinement via Latent Feedback for Diffusion Model Alignment
por: Lee, Suhyeon, et al.
Publicado: (2025)

Sparse Autoencoders as Plug-and-Play Firewalls for Adversarial Attack Detection in VLMs
por: Wang, Hao, et al.
Publicado: (2026)

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization
por: Liu, Sihao, et al.
Publicado: (2024)

Taming Outlier Tokens in Diffusion Transformers
por: Wu, Xiaoyu, et al.
Publicado: (2026)

Contrastive Denoising Score for Text-guided Latent Diffusion Image Editing
por: Nam, Hyelin, et al.
Publicado: (2023)

Domain Transfer Becomes Identifiable via a Single Alignment
por: Shrestha, Sagar, et al.
Publicado: (2026)

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

PlayGen-MoG: Framework for Diverse Multi-Agent Play Generation via Mixture-of-Gaussians Trajectory Prediction
por: Song, Kevin
Publicado: (2026)

Taming Diffusion for Dataset Distillation with High Representativeness
por: Zhao, Lin, et al.
Publicado: (2025)

A Unified View of Score-Based and Drifting Models
por: Lai, Chieh-Hsin, et al.
Publicado: (2026)

Evaluating the Posterior Sampling Ability of Plug&Play Diffusion Methods in Sparse-View CT
por: Moroy, Liam, et al.
Publicado: (2024)

Taming Latent Diffusion Model for Neural Radiance Field Inpainting
por: Lin, Chieh Hubert, et al.
Publicado: (2024)

Text Slider: Efficient and Plug-and-Play Continuous Concept Control for Image/Video Synthesis via LoRA Adapters
por: Chiu, Pin-Yen, et al.
Publicado: (2025)

OOSTraj: Out-of-Sight Trajectory Prediction With Vision-Positioning Denoising
por: Zhang, Haichao, et al.
Publicado: (2024)

Taming the Entropy Cliff: Variable Codebook Size Quantization for Autoregressive Visual Generation
por: Zheng, Bowen, et al.
Publicado: (2026)

Efficient Training with Denoised Neural Weights
por: Gong, Yifan, et al.
Publicado: (2024)

Assessing Robustness via Score-Based Adversarial Image Generation
por: Kollovieh, Marcel, et al.
Publicado: (2023)

Neural Isometries: Taming Transformations for Equivariant ML
por: Mitchel, Thomas W., et al.
Publicado: (2024)

Are Bias Mitigation Techniques for Deep Learning Effective?
por: Shrestha, Robik, et al.
Publicado: (2021)

Causality in Video Diffusers is Separable from Denoising
por: Bai, Xingjian, et al.
Publicado: (2026)

Rapid Plug-in Defenders
por: Wu, Kai, et al.
Publicado: (2023)

Taming the Tail in Class-Conditional GANs: Knowledge Sharing via Unconditional Training at Lower Resolutions
por: Khorram, Saeed, et al.
Publicado: (2024)

DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer
por: Huang, Haiduo, et al.
Publicado: (2025)

Pixels to Play: A Foundation Model for 3D Gameplay
por: Yue, Yuguang, et al.
Publicado: (2025)

Plug-and-Play Diffusion Meets ADMM: Dual-Variable Coupling for Robust Medical Image Reconstruction
por: Du, Chenhe, et al.
Publicado: (2026)

Astra: General Interactive World Model with Autoregressive Denoising
por: Zhu, Yixuan, et al.
Publicado: (2025)

The Generation Phases of Flow Matching: a Denoising Perspective
por: Gagneux, Anne, et al.
Publicado: (2025)

Robust Representation Consistency Model via Contrastive Denoising
por: Lei, Jiachen, et al.
Publicado: (2025)

Denoising Fisher Training For Neural Implicit Samplers
por: Luo, Weijian, et al.
Publicado: (2024)

Automating Parameter Selection in Deep Image Prior for Fluorescence Microscopy Image Denoising via Similarity-Based Parameter Transfer
por: Meyer, Lina, et al.
Publicado: (2026)

Deep Reinforcement Learning for Urban Air Quality Management: Multi-Objective Optimization of Pollution Mitigation Booth Placement in Metropolitan Environments
por: Rajesh, Kirtan, et al.
Publicado: (2025)

Step-level Denoising-time Diffusion Alignment with Multiple Objectives
por: Zhang, Qi, et al.
Publicado: (2026)

Denoising Multi-Beta VAE: Representation Learning for Disentanglement and Generation
por: Uppal, Anshuk, et al.
Publicado: (2025)

Don't Play Favorites: Minority Guidance for Diffusion Models
por: Um, Soobin, et al.
Publicado: (2023)

Learning to Play Video Games with Intuitive Physics Priors
por: Jaiswal, Abhishek, et al.
Publicado: (2024)

ScoreMix: Synthetic Data Generation by Score Composition in Diffusion Models Improves Recognition
por: Rahimi, Parsa, et al.
Publicado: (2025)