A collection of papers related to image and video compression.
ICLR 2024, CVPR 2024, ICML 2024, ECCV 2024, ACMMM 2024, IJCAI 2024, NeurIPS 2024,
ICLR 2023, ICML 2023, NeurIPS 2023, AAAI 2023, ICCV 2023, CVPR 2023, ACMMM 2023,
IEEE TPAMI, IEEE TCSVT, IEEE TIP, IEEE TMM,
Causal Context Adjustment Loss for Learned Image Compression. paper
Efficient Screen Content Image Compression via Superpixel-based Content Aggregation and Dynamic Feature Fusion.
Task-Oriented Multi-Bitstream Optimization for Image Compression and Transmission via Optimal Transport. paper
Group-aware Parameter-efficient Updating for Content-Adaptive Neural Video Compression. paper
Spatial-Temporal Context Model for Remote Sensing Imagery Compression. paper
QS-NeRV: Real-Time Quality-Scalable Decoding with Neural Representation for Videos. paper
HybridFlow: Infusing Continuity into Masked Codebook for Extreme Low-Bitrate Image Compression. paper
Consistency Guided Diffusion Model with Neural Syntax for Perceptual Image Compression. paper
Fast Encoding and Decoding for Implicit Video Representation. paper
GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting. paper; code
Learned HDR Image Compression for Perceptually Optimal Storage and Display. paper
Region Adaptive Transform with Segmentation Prior for Image Compression. paper
WeConvene: Learned Image Compression with Wavelet-Domain Convolution and Entropy Model. paper; code
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; code
HAC: Hash-grid Assisted Context for 3D Gaussian Splatting Compression. paper
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
EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens. paper
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; code
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
Toward Scalable Image Feature Compression: A Content-Adaptive and Diffusion-Based Approach. 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