Rethinking Generative Image Compression at Extremely Low Bitrates

arXiv:2609.39315 · cs.CV · Submitted 2026-09-30 · Read on arXiv

cs.CV

Submitted: 2026-09-30

Updated: 2026-09-30

Code: https://github.com/LuizScarlet/RAE-CoD

Terminology

• Transformer — 21× in this paper · explained in 2 episodes
• Diffusion Model — 15× in this paper · explained in 8 episodes
• Alignment — 13× in this paper · explained in 1 episode
• Consistency — 11× in this paper · explained in 3 episodes
• Diffusion Models — 10× in this paper · explained in 6 episodes
• Cosine Similarity — 9× in this paper · explained in 3 episodes
• Conference on Computer Vision and Pattern Recognition — 7× in this paper
• Fidelity — 7× in this paper · explained in 2 episodes
• Foundation Model — 7× in this paper · explained in 3 episodes
• Frechet Distance — 7× in this paper
• Semantic Recognizability — 7× in this paper
• Foundation Models — 5× in this paper · explained in 7 episodes
• Aggregation — 4× in this paper · explained in 1 episode
• Ablation — 3× in this paper · explained in 1 episode
• Generative Model — 3× in this paper · explained in 2 episodes
• Latent Diffusion Model — 3× in this paper · explained in 2 episodes
• Latent Space — 3× in this paper · explained in 7 episodes
• Linear Probing — 3× in this paper · explained in 2 episodes
• Quantization — 3× in this paper · explained in 12 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Adaptation — 2× in this paper · explained in 1 episode
• CVF International Conference on Computer Vision — 2× in this paper
• Flow Matching — 2× in this paper · explained in 7 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• Latent Diffusion Models — 2× in this paper · explained in 2 episodes
• Rectified Flow — 2× in this paper · explained in 3 episodes
• Semantic Consistency — 2× in this paper
• Semantic Quality — 2× in this paper
• Trace — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Decode — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Semantic Alignment — 1× in this paper · explained in 3 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes
• Vision-Language Model (VLM) — 1× in this paper · explained in 3 episodes

Sources

• End-to-end Optimized Image Compression
• Variational image compression with a scale hyperprior
• A Residual Diffusion Model for High Perceptual Quality Codec Augmentation
• High-Fidelity Image Compression with Score-based Generative Models
• LoRA: Low-Rank Adaptation of Large Language Models
• CoD-Lite: Real-Time Diffusion-Based Generative Image Compression
• Ultra Lowrate Image Compression with Semantic Residual Coding and Compression-aware Diffusion
• PerCo (SD): Open Perceptual Compression
• Text + Sketch: Image Compression at Ultra Low Rates
• Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
• DINOv2: Learning Robust Visual Features without Supervision
• DiT-IC: Aligned Diffusion Transformer for Efficient Image Compression
• DINOv3
• Improved Baselines with Representation Autoencoders
• Lossy Compression with Gaussian Diffusion
• SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
• Exploring Representation-Aligned Latent Space for Better Generation
• Representation Fr'echet Loss for Visual Generation

Related papers

• Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
• AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
• Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
• MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
• TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
• A Survey on Efficient Vision-Language-Action Models