Cover Image

Comp-X: On Defining an Interactive Learned Image Compression Paradigm With Expert-driven LLM Agent

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gao, Yixin, Li, Xin, Pan, Xiaohan, Feng, Runsen, Li, Bingchen, Qi, Yunpeng, Lu, Yiting, Cheng, Zhengxue, Chen, Zhibo, Ostermann, Jörn
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

UniMIC: Towards Universal Multi-modality Perceptual Image Compression
by: Gao, Yixin, et al.
Published: (2024)

LossAgent: Towards Any Optimization Objectives for Image Processing with LLM Agents
by: Li, Bingchen, et al.
Published: (2024)

Towards Defining an Efficient and Expandable File Format for AI-Generated Contents
by: Gao, Yixin, et al.
Published: (2024)

Why Compress What You Can Generate? When GPT-4o Generation Ushers in Image Compression Fields
by: Gao, Yixin, et al.
Published: (2025)

Hybrid Agents for Image Restoration
by: Li, Bingchen, et al.
Published: (2025)

Semantically Structured Image Compression via Irregular Group-Based Decoupling
by: Feng, Ruoyu, et al.
Published: (2023)

Diff-ICMH: Harmonizing Machine and Human Vision in Image Compression with Generative Prior
by: Feng, Ruoyu, et al.
Published: (2025)

PromptCIR: Blind Compressed Image Restoration with Prompt Learning
by: Li, Bingchen, et al.
Published: (2024)

Conditional Neural Video Coding with Spatial-Temporal Super-Resolution
by: Wang, Henan, et al.
Published: (2024)

Soft then Hard: Rethinking the Quantization in Neural Image Compression
by: Guo, Zongyu, et al.
Published: (2021)

Q-Adapt: Adapting LMM for Visual Quality Assessment with Progressive Instruction Tuning
by: Lu, Yiting, et al.
Published: (2025)

MambaCSR: Dual-Interleaved Scanning for Compressed Image Super-Resolution With SSMs
by: Ren, Yulin, et al.
Published: (2024)

LANCE: Locally Adaptive Neural Context Estimation for Overfitted Image Compression
by: Benjak, Martin, et al.
Published: (2026)

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s
by: Wang, Xijun, et al.
Published: (2025)

Pruning-aware Loss Functions for STOI-Optimized Pruned Recurrent Autoencoders for the Compression of the Stimulation Patterns of Cochlear Implants at Zero Delay
by: Hinrichs, Reemt, et al.
Published: (2025)

InternVQA: Advancing Compressed Video Quality Assessment with Distilling Large Foundation Model
by: Guan, Fengbin, et al.
Published: (2025)

UCIP: A Universal Framework for Compressed Image Super-Resolution using Dynamic Prompt
by: Li, Xin, et al.
Published: (2024)

MoE-DiffIR: Task-customized Diffusion Priors for Universal Compressed Image Restoration
by: Ren, Yulin, et al.
Published: (2024)

DualComp: End-to-End Learning of a Unified Dual-Modality Lossless Compressor
by: Zhao, Yan, et al.
Published: (2025)

Is Vanilla MLP in Neural Radiance Field Enough for Few-shot View Synthesis?
by: Zhu, Hanxin, et al.
Published: (2024)

ClusComp: A Simple Paradigm for Model Compression and Efficient Finetuning
by: Liao, Baohao, et al.
Published: (2025)

Rate-Distortion-Cognition Controllable Versatile Neural Image Compression
by: Liu, Jinming, et al.
Published: (2024)

LERO: LLM-driven Evolutionary framework with Hybrid Rewards and Enhanced Observation for Multi-Agent Reinforcement Learning
by: Wei, Yuan, et al.
Published: (2025)

Joint Degradation-Aware Arbitrary-Scale Super-Resolution for Variable-Rate Extreme Image Compression
by: Chai, Xinning, et al.
Published: (2026)

Stable Diffusion is a Natural Cross-Modal Decoder for Layered AI-generated Image Compression
by: Chen, Ruijie, et al.
Published: (2024)

IQA-Spider: Unifying Multi-Granularity Image Quality Assessment with Reasoning, Grounding and Referring
by: Peng, Xinge, et al.
Published: (2026)

InteractComp: Evaluating Search Agents With Ambiguous Queries
by: Deng, Mingyi, et al.
Published: (2025)

PsychoGAT: A Novel Psychological Measurement Paradigm through Interactive Fiction Games with LLM Agents
by: Yang, Qisen, et al.
Published: (2024)

TacCompress: A Benchmark for Multi-Point Tactile Data Compression in Dexterous Hand
by: Zhao, Yan, et al.
Published: (2025)

CompLLM: Compression for Long Context Q&A
by: Berton, Gabriele, et al.
Published: (2025)

MASteer: Multi-Agent Adaptive Steer Strategy for End-to-End LLM Trustworthiness Repair
by: Li, Changqing, et al.
Published: (2025)

Exploring Interaction Paradigms for LLM Agents in Scientific Visualization
by: Vonderhorst, Jackson, et al.
Published: (2026)

SegForestNet: Spatial-Partitioning-Based Aerial Image Segmentation
by: Gritzner, Daniel, et al.
Published: (2023)

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage
by: Li, Na, et al.
Published: (2025)

CompAct: Compressed Activations for Memory-Efficient LLM Training
by: Shamshoum, Yara, et al.
Published: (2024)

Test-Time Preference Optimization for Image Restoration
by: Li, Bingchen, et al.
Published: (2025)

Video Quality Assessment Based on Swin TransformerV2 and Coarse to Fine Strategy
by: Yu, Zihao, et al.
Published: (2024)

Priorformer: A UGC-VQA Method with content and distortion priors
by: Pei, Yajing, et al.
Published: (2024)

QMamba: On First Exploration of Vision Mamba for Image Quality Assessment
by: Guan, Fengbin, et al.
Published: (2024)

What Do LLM Agents Know About Their World? Task2Quiz: A Paradigm for Studying Environment Understanding
by: Liu, Siyuan, et al.
Published: (2026)