Cover Image

TLIC: Learned Image Compression with ROI-Weighted Distortion and Bit Allocation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jiang, Wei, Zhai, Yongqi, Li, Hangyu, Wang, Ronggang
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Image and Video Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression
by: Zhai, Yongqi, et al.
Published: (2024)

MLIC++: Linear Complexity Multi-Reference Entropy Modeling for Learned Image Compression
by: Jiang, Wei, et al.
Published: (2023)

LLIC: Large Receptive Field Transform Coding with Adaptive Weights for Learned Image Compression
by: Jiang, Wei, et al.
Published: (2023)

MLIC: Multi-Reference Entropy Model for Learned Image Compression
by: Jiang, Wei, et al.
Published: (2022)

ROI-based Deep Image Compression with Implicit Bit Allocation
by: Hu, Kai, et al.
Published: (2025)

Customizable ROI-Based Deep Image Compression
by: Jin, Jian, et al.
Published: (2025)

Learning Lossless Compression for High Bit-Depth Volumetric Medical Image
by: Wang, Kai, et al.
Published: (2024)

Super-High-Fidelity Image Compression via Hierarchical-ROI and Adaptive Quantization
by: Luo, Jixiang, et al.
Published: (2024)

Balanced Rate-Distortion Optimization in Learned Image Compression
by: Zhang, Yichi, et al.
Published: (2025)

SG-JND: Semantic-Guided Just Noticeable Distortion Predictor For Image Compression
by: Cao, Linhan, et al.
Published: (2024)

Online Meta Adaptation for Variable-Rate Learned Image Compression
by: Jiang, Wei, et al.
Published: (2021)

Exploring Distortion Prior with Latent Diffusion Models for Remote Sensing Image Compression
by: Li, Junhui, et al.
Published: (2024)

Controllable Distortion-Perception Tradeoff Through Latent Diffusion for Neural Image Compression
by: Zhou, Chuqin, et al.
Published: (2024)

GaussianTrimmer: Online Trimming Boundaries for 3DGS Segmentation
by: Liao, Liwei, et al.
Published: (2026)

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

Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortion
by: Ballé, Jona, et al.
Published: (2024)

DM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling
by: Ji, Hangyu
Published: (2025)

Assessing UHD Image Quality from Aesthetics, Distortions, and Saliency
by: Sun, Wei, et al.
Published: (2024)

Learning Weighting Map for Bit-Depth Expansion within a Rational Range
by: Liu, Yuqing, et al.
Published: (2022)

Bits-to-Photon: End-to-End Learned Scalable Point Cloud Compression for Direct Rendering
by: Hu, Yueyu, et al.
Published: (2024)

Sparse Point Clouds Assisted Learned Image Compression
by: Jiang, Yiheng, et al.
Published: (2024)

CALLIC: Content Adaptive Learning for Lossless Image Compression
by: Li, Daxin, et al.
Published: (2024)

Embedding Compression Distortion in Video Coding for Machines
by: Sun, Yuxiao, et al.
Published: (2025)

Embodied Image Compression
by: Li, Chunyi, et al.
Published: (2025)

Adversarial Distortion Learning for Medical Image Denoising
by: Ghahremani, Morteza, et al.
Published: (2022)

Controlling Rate, Distortion, and Realism: Towards a Single Comprehensive Neural Image Compression Model
by: Iwai, Shoma, et al.
Published: (2024)

MLICv2: Enhanced Multi-Reference Entropy Modeling for Learned Image Compression
by: Jiang, Wei, et al.
Published: (2025)

Causal Context Adjustment Loss for Learned Image Compression
by: Han, Minghao, et al.
Published: (2024)

Optimizing ROI Benefits Vehicle ReID in ITS
by: Qiu, Mei, et al.
Published: (2024)

HybridFlow: Infusing Continuity into Masked Codebook for Extreme Low-Bitrate Image Compression
by: Lu, Lei, et al.
Published: (2024)

BiECVC: Gated Diversification of Bidirectional Contexts for Learned Video Compression
by: Jiang, Wei, et al.
Published: (2025)

GroupedMixer: An Entropy Model with Group-wise Token-Mixers for Learned Image Compression
by: Li, Daxin, et al.
Published: (2024)

Interleaved Block-based Learned Image Compression with Feature Enhancement and Quantization Error Compensation
by: Jiang, Shiqi, et al.
Published: (2025)

Generalized Gaussian Model for Learned Image Compression
by: Zhang, Haotian, et al.
Published: (2024)

PerCoV2: Improved Ultra-Low Bit-Rate Perceptual Image Compression with Implicit Hierarchical Masked Image Modeling
by: Körber, Nikolai, et al.
Published: (2025)

Towards Extreme Image Compression with Latent Feature Guidance and Diffusion Prior
by: Li, Zhiyuan, et al.
Published: (2024)

Frequency-Aware Transformer for Learned Image Compression
by: Li, Han, et al.
Published: (2023)

LVC-LGMC: Joint Local and Global Motion Compensation for Learned Video Compression
by: Jiang, Wei, et al.
Published: (2024)

FD-LSCIC: Frequency Decomposition-based Learned Screen Content Image Compression
by: Jiang, Shiqi, et al.
Published: (2025)

SANR: Scene-Aware Neural Representation for Light Field Image Compression with Rate-Distortion Optimization
by: Zhang, Gai, et al.
Published: (2025)