Image de couverture de livre

Training-Free Rate-Distortion-Perception Traversal With Diffusion

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wang, Yuhan, Bi, Suzhi, Zhang, Ying-Jun Angela
Format:	Preprint
Publié:	2026
Sujets:	Information Theory Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Rate-Distortion-Perception Tradeoff Based on the Conditional-Distribution Perception Measure
par: Salehkalaibar, Sadaf, et autres
Publié: (2024)

Rate-Distortion-Perception Theory for the Quadratic Wasserstein Space
par: Qu, Xiqiang, et autres
Publié: (2025)

Gaussian Rate-Distortion-Perception Coding and Entropy-Constrained Scalar Quantization
par: Xie, Li, et autres
Publié: (2024)

Output-Constrained Lossy Source Coding With Application to Rate-Distortion-Perception Theory
par: Xie, Li, et autres
Publié: (2024)

Optimal Neural Compressors for the Rate-Distortion-Perception Tradeoff
par: Lei, Eric, et autres
Publié: (2025)

Traversing Distortion-Perception Tradeoff using a Single Score-Based Generative Model
par: Wang, Yuhan, et autres
Publié: (2025)

The Rate-Distortion-Perception Trade-off: The Role of Private Randomness
par: Hamdi, Yassine, et autres
Publié: (2024)

A Synonymous Variational Perspective on the Rate-Distortion-Perception Tradeoff
par: Liang, Zijian, et autres
Publié: (2026)

A Constrained BA Algorithm for Rate-Distortion and Distortion-Rate Functions
par: Chen, Lingyi, et autres
Publié: (2023)

Task-Oriented Computation Offloading for Edge Inference: An Integrated Bayesian Optimization and Deep Reinforcement Learning Framework
par: Li, Xian, et autres
Publié: (2025)

Rate-Distortion Optimization for Transformer Inference
par: de Andrade, Anderson, et autres
Publié: (2026)

Neural Estimation of the Rate-Distortion Function With Applications to Operational Source Coding
par: Lei, Eric, et autres
Publié: (2022)

A Rate-Distortion Framework for Summarization
par: Arda, Enes, et autres
Publié: (2025)

Fundamental Limitation of Semantic Communications: Neural Estimation for Rate-Distortion
par: Li, Dongxu, et autres
Publié: (2024)

Characterization of the Distortion-Perception Tradeoff for Finite Channels with Arbitrary Metrics
par: Freirich, Dror, et autres
Publié: (2024)

RateQuant: Optimal Mixed-Precision KV Cache Quantization via Rate-Distortion Theory
par: Zuo, Fei, et autres
Publié: (2026)

Two-Sided Bounds for Entropic Optimal Transport via a Rate-Distortion Integral
par: Liu, Jingbo
Publié: (2026)

Rate of Model Collapse in Recursive Training
par: Suresh, Ananda Theertha, et autres
Publié: (2024)

Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding
par: Lei, Eric, et autres
Publié: (2024)

PrismQuant: Rate-Distortion-Optimal Vector Quantization for Gaussian-Mixture Sources
par: Park, Bumsu, et autres
Publié: (2026)

Semantic Rate Distortion and Posterior Design: Compute Constraints, Multimodality, and Strategic Inference
par: Akyol, Emrah
Publié: (2026)

Rateless DeepJSCC for Broadcast Channels: a Rate-Distortion-Complexity Tradeoff
par: Qin, Zijun, et autres
Publié: (2026)

CSIT-Free Model Aggregation for Federated Edge Learning via Reconfigurable Intelligent Surface
par: Liu, Hang, et autres
Publié: (2021)

A Parametric Rate-Distortion Model for Video Transcoding
par: Jamali, Maedeh, et autres
Publié: (2024)

The Rate-Distortion-Perception-Classification Tradeoff: Joint Source Coding and Modulation via Inverse-Domain GANs
par: Fang, Junli, et autres
Publié: (2023)

Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models
par: Nagle, Alliot, et autres
Publié: (2024)

Entropy-Based Dimension-Free Convergence and Loss-Adaptive Schedules for Diffusion Models
par: Aghapour, Ahmad, et autres
Publié: (2026)

FedCova: Robust Federated Covariance Learning Against Noisy Labels
par: Zhong, Xiangyu, et autres
Publié: (2026)

Communication-Learning Co-Design for Differentially Private Over-the-Air Federated Distillation
par: Hu, Zihao, et autres
Publié: (2025)

ArcMark: Distortion-Free Multi-Byte LLM Watermark via Optimal Transport
par: Gilani, Atefeh, et autres
Publié: (2026)

Task-Oriented Lossy Compression with Data, Perception, and Classification Constraints
par: Wang, Yuhan, et autres
Publié: (2024)

A Parameter-Free Two-Bit Covariance Estimator with Improved Operator Norm Error Rate
par: Chen, Junren, et autres
Publié: (2023)

Rate-Distortion-Perception Tradeoff for Gaussian Vector Sources
par: Qian, Jingjing, et autres
Publié: (2024)

Rate-Distortion Signatures of Generalization and Information Trade-offs
par: Caglar, Leyla Roksan, et autres
Publié: (2026)

Model-Aware Rate-Distortion Limits for Task-Oriented Source Coding
par: Enttsel, Andriy, et autres
Publié: (2026)

On Self-Adaptive Perception Loss Function for Sequential Lossy Compression
par: Salehkalaibar, Sadaf, et autres
Publié: (2025)

Harmonizing Program Induction with Rate-Distortion Theory
par: Zhou, Hanqi, et autres
Publié: (2024)

Rate-Distortion-Perception Tradeoff for the Gray-Wyner Problem
par: Yang, Yu, et autres
Publié: (2026)

Prediction-Powered Communication with Distortion Guarantees
par: Zecchin, Matteo, et autres
Publié: (2025)

Differentially Private Over-the-Air Federated Learning Over MIMO Fading Channels
par: Liu, Hang, et autres
Publié: (2023)