A collection of papers related to image and video compression.

ICLR 2024, CVPR 2024, ICML 2024, ECCV 2024, ACMMM 2024,

ICLR 2023, ICML 2023, NeurIPS 2023, AAAI 2023, ICCV 2023, CVPR 2023, ACMMM 2023,

IEEE TPAMI, IEEE TCSVT, IEEE TIP, IEEE TMM,

Consistency Guided Diffusion Model with Neural Syntax for Perceptual Image Compression. paper

Rate-Distortion-Cognition Controllable Versatile Neural Image Compression. paper

EGIC: Enhanced Low-Bit-Rate Generative Image Compression Guided by Semantic Segmentation. paper

Image Compression for Machine and Human Vision With Spatial-Frequency Adaptation. paper

HAC: Hash-grid Assisted Context for 3D Gaussian Splatting Compression.

Bidirectional Stereo Image Compression with Cross-Dimensional Entropy Model. paper

Compress Clean Signal from Noisy Raw Image: A Self-Supervised Approach. paper; code

Correcting Diffusion-Based Perceptual Image Compression with Privileged End-to-End Decoder. paper

Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity. paper; code

DS-NeRV: Implicit Neural Video Representation with Decomposed Static and Dynamic Codes. paper

JDEC: JPEG Decoding via Enhanced Continuous Cosine Coefficients. paper

Combining Frame and GOP Embeddings for Neural Video Representation. paper

C3: High-performance and Low-complexity Neural Compression from A Single Image or Video. Paper

Generative Latent Coding for Ultra-Low Bitrate Image Compression. Paper

Laplacian-guided Entropy Model in Neural Codec with Blur-dissipated Synthesis. Paper

Learned Lossless Image Compression based on Bit Plane Slicing. Paper

Towards Backward-Compatible Continual Learning of Image Compression. Paper

Enhancing Quality of Compressed Images by Mitigating Enhancement Bias Towards Compression Domain.Paper

Boosting Neural Representations for Videos with a Conditional Decoder. Paper

Neural Video Compression with Feature Modulation. Paper

Task-Aware Encoder Control for Deep Video Compression. Paper

NeRFCodec: Neural Feature Compression Meets Neural Radiance Fields for Memory-Efficient Scene Representation. Paper

Frequency-Aware Transformer for Learned Image Compression. Paper; Code

Idempotence and Perceptual Image Compression. Paper; Code

Towards Image Compression with Perfect Realism At Ultra-Low Bitrates. Paper

Neural Rate Control for Learned Video Compression. Paper

Finite-State Autoregressive Entropy Coding for Efficient Learned Lossless Compression. Paper

EVC: Towards Real-Time Neural Image Compression with Mask Decay. Paper

MIMT: Masked Image Modeling Transformer for Video Compression. Paper

Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models. Paper

Modality-Agnostic Variational Compression of Implicit Neural Representations. Paper

Is Overfitting Necessary for Implicit Video Representation? Paper

Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain. Paper

Self-Asymmetric Invertible Network for Compression-Aware Image Rescaling. Paper

Multi-Modality Deep Network for Extreme Learned Image Compression. Paper

Neural Image Compression: Generalization, Robustness, and Spectral Biases. Paper

Compression with Bayesian Implicit Neural Representations. Paper

Towards Efficient Image Compression Without Autoregressive Models. Paper

Lossy Image Compression with Conditional Diffusion Models. Paper

Task-aware Distributed Source Coding Under Dynamic Bandwidth. Paper

On the Choice of Perception Loss Function for Learned Video Compression. Paper

HiNeRV: Video Compression with Hierarchical Encoding-based Neural Representation. Paper

Compact Neural Volumetric Video Representations with Dynamic Codebooks. Paper

Computationally-Efficient Neural Image Compression with Shallow Decoders. Paper

SHACIRA: Scalable HAsh-grid Compression for Implicit Neural Representations. Paper

COMPASS: High-Efficiency Deep Image Compression with Arbitrary-scale Spatial Scalability. Paper

Dec-Adapter: Exploring Efficient Decoder-Side Adapter for Bridging Screen Content and Natural Image Compression. Paper

Semantically Structured Image Compression via Irregular Group-Based Decoupling. Paper

TransTIC: Transferring Transformer-based Image Compression from Human Perception to Machine Perception. Paper

RFD-ECNet: Extreme Underwater Image Compression with Reference to Feature Dictionary. Paper

AdaNIC: Towards Practical Neural Image Compression via Dynamic Transform Routing. Paper

Non-Semantics Suppressed Mask Learning for Unsupervised Video Semantic Compression. Paper

Scene Matters: Model-based Deep Video Compression. Paper

Learned Image Compression With Mixed Transformer-CNN Architectures. Paper; Code

Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger. Paper

TINC: Tree-structured Implicit Neural Compression. Paper

Context-Based Trit-Plane Coding for Progressive Image Compression. Paper

LVQAC: Lattice Vector Quantization Coupled With Spatially Adaptive Companding for Efficient Learned Image Compression. Paper

Multi-Realism Image Compression With a Conditional Generator. Paper

AccelIR: Task-aware Image Compression for Accelerating Neural Restoration. Paper

Real-Time 6K Image Rescaling With Rate-Distortion Optimization. Paper

Complexity-Guided Slimmable Decoder for Efficient Deep Video Compression. Paper

Video Compression With Entropy-Constrained Neural Representations. Paper

Neural Video Compression with Diverse Contexts. Paper

Motion Information Propagation for Neural Video Compression. Paper

MMVC: Learned Multi-Mode Video Compression With Block-Based Prediction Mode Selection and Density-Adaptive Entropy Coding. Paper

DNeRV: Modeling Inherent Dynamics via Difference Neural Representation for Videos. Paper

HNeRV: A Hybrid Neural Representation for Videos. Paper

Hierarchical B-frame Video Coding Using Two-Layer CANF without Motion Coding. Paper

Towards Scalable Neural Representation for Diverse Videos. Paper

NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-wise Modeling. Paper

MLIC: Multi-Reference Entropy Model for Learned Image Compression. Paper; Code

Deep Lossy Plus Residual Coding for Lossless and Near-lossless Image Compression. 2024. Paper

I2C: Invertible Continuous Codec for High-Fidelity Variable-Rate Image Compression. 2024. Paper

Insights from Generative Modeling for Neural Video Compression. 2023. Paper

FDNet: Frequency Decomposition Network for Learned Image Compression. 2024. paper

Conditional Residual Coding: A Remedy for Bottleneck Problems in Conditional Inter Frame Coding. 2024. Paper

Spatial Decomposition and Temporal Fusion based Inter Prediction for Learned Video Compression. 2024. Paper

Exploring Resolution Fields for Scalable Image Compression with Uncertainty Guidance. 2023. Paper

Extremely Low Bit-rate Image Compression via Invertible Image Generation. 2023. Paper

DMVC: Decomposed Motion Modeling for Learned Video Compression. 2023. Paper

Exploring Long- and Short-Range Temporal Information for Learned Video Compression. 2024. Paper

Scalable Face Image Coding via StyleGAN Prior: Toward Compression for Human-Machine Collaborative Vision. 2023. Paper

Learned Image Compression With Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules. 2023. Paper

Learning Cross-Scale Weighted Prediction for Efficient Neural Video Compression. 2023. Paper

Uncertainty-Aware Deep Video Compression with Ensembles. 2024. Paper