[NeurIPS2024] Causal Context Adjustment Loss for Learned Image Compression

Extreme Image Compression using Fine-tuned VQGAN Models (DCC 2024)

Efficient vision foundation models for high-resolution generation and perception.

Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

one summary of diffusion-based image processing, including restoration, enhancement, coding, quality assessment

Official implementation of NeurIPS'24 paper Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features

🔥ImageFolder: Autoregressive Image Generation with Folded Tokens

Official implementation of S3Diff

Code for "Diffusion Model Alignment Using Direct Preference Optimization"

Repository for "WaveFace: Authentic Face Restoration with Efficient Frequency Recovery" (CVPR24)

Official codes of CCSR: Improving the Stability of Diffusion Models for Content Consistent Super-Resolution

Towards Real-Time Practical Image Compression with Lightweight Attention

Official codes of DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior

Official Implementation of "Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity (ICML 2024)"

🏠[ECCV 2024] GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting

[CVPR 2024] SinSR: Diffusion-Based Image Super-Resolution in a Single Step

Implemetation of ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding

Taming Transformers for High-Resolution Image Synthesis

Project Page for Paper "Deep Learning-Based Object Pose Estimation: A Comprehensive Survey"