Xinjie-Q/CAMSIC
๐ [AAAI 2025] CAMSIC: Content-aware Masked Image Modeling Transformer for Stereo Image Compression
Ph.D. student at HKUST since 21fall.
๐ [AAAI 2025] CAMSIC: Content-aware Masked Image Modeling Transformer for Stereo Image Compression
๐ [ECCV 2024] GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting
Curated list of papers and resources focused on neural compression, intended to keep pace with the anticipated surge of research in the recent years.
๐ [ICLR 2023] LDMIC: Learning-based Distributed Multi-view Image Coding
๐ [ICCV 2025] MEGA: Memory-Efficient 4D Gaussian Splatting for Dynamic Scenes
๐ [CVPR 2024 Highlight] Boosting Neural Representations for Videos with a Conditional Decoder
Awesome Unified Multimodal Models
๐ [ICME 2023] Low-complexity Deep Video Compression with A Distributed Coding Architecture
An unified model that seamlessly integrates multimodal understanding, text-to-image generation, and image editing within a single powerful framework.
Gitl HEVC/H.265 Analyzer based on Qt. Custom filters supported.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Recent papers and codes related to deep learning/deep neural network based image compression and video coding framework.
Implementation of bi-directional Conv LSTM and Conv GRU in PyTorch.