https://gitlab.com/viper-purdue/efficient-compression
공식 코드On Efficient Neural Network Architectures for Image Compression
Papers with Code 아카이브
Image Compression
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 4
- 평가표
- 11
- 보존된 평가 기록
- 22
Image Compression is an application of data compression for digital images to lower their storage and/or transmission requirements.
Source: Variable Rate Deep Image Compression With a Conditional Autoencoder
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://gitlab.com/viper-purdue/fmpq
공식 코드Flexible Mixed Precision Quantization for Learned Image Compression
https://gitlab.com/viper-purdue/lic-pruning
공식 코드Structured Pruning and Quantization for Learned Image Compression
https://gitlab.com/viper-purdue/qarv-release
공식 코드QARV: Quantization-Aware ResNet VAE for Lossy Image Compression
https://github.com/1zb/pytorch-image-comp-rnn
Full Resolution Image Compression with Recurrent Neural Networks
https://github.com/2023-MindSpore-1/ms-code-216/tree/main/RDN
https://github.com/2023-MindSpore-1/ms-code-218/tree/main/sgcn
SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators
https://github.com/2023-MindSpore-4/Code12/tree/main/d2l/chapter_09_recurrent-modern
Full Resolution Image Compression with Recurrent Neural Networks
https://github.com/AmrElsersy/PointPainting
https://github.com/AniSundar18/AlignedForensics
On the detection of synthetic images generated by diffusion models
https://github.com/CorentinBT/Decoder
Learning to compress and search visual data in large-scale systems
https://github.com/DDCM-2025/ddcm-compressed-image-generation
Compressed Image Generation with Denoising Diffusion Codebook Models
https://github.com/DaniMlk/BlockCNN
BlockCNN: A Deep Network for Artifact Removal and Image Compression
https://github.com/Davidwang96/my-ZSSR
https://github.com/DmitryUlyanov/deep-image-prior
https://github.com/GuoLanqing/Self-Convolution
From Rank Estimation to Rank Approximation: Rank Residual Constraint for Image Restoration
https://github.com/GuoLusjtu/DVC
https://github.com/HarukiYqM/pytorch-ZSSR
https://github.com/Iamanorange/DSSLIC
DSSLIC: Deep Semantic Segmentation-based Layered Image Compression
https://github.com/JiangWeibeta/Checkerboard-Context-Model-for-Efficient-Learned-Image-Compression
Checkerboard Context Model for Efficient Learned Image Compression
https://github.com/JiangWeibeta/ELIC
https://github.com/Justin-Tan/generative-compression
Generative Adversarial Networks for Extreme Learned Image Compression
https://github.com/Justin-Tan/high-fidelity-generative-compression
https://github.com/KUIS-AI-Tekalp-Research-Group/video-compression
https://github.com/KunStats/Paddle-DIP
https://github.com/LiuLei95/PyTorch-Learned-Image-Compression-with-GMM-and-Attention
Learned Image Compression with Discretized Gaussian Mixture Likelihoods and Attention Modules
https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code/tree/main/Deep_Image_Prior
https://github.com/MindCode-4/code-11/tree/main/DCTransformer
https://github.com/Nikolai10/Checkerboard-Context-Model
Joint Autoregressive and Hierarchical Priors for Learned Image Compression
https://github.com/Nikolai10/ELIC
https://github.com/Nikolai10/LIC-TCM
Learned Image Compression with Mixed Transformer-CNN Architectures
https://github.com/Nikolai10/MRIC
https://github.com/Nikolai10/SwinT-ChARM
EGIC: Enhanced Low-Bit-Rate Generative Image Compression Guided by Semantic Segmentation
https://github.com/PaulEmmanuelSotir/DeepCV
Practical Full Resolution Learned Lossless Image Compression
https://github.com/QLinhHub/Image-super-resolution
https://github.com/Recognito-Vision/Face-SDK-Linux-Demos
Privacy-Preserving Face Recognition Using Trainable Feature Subtraction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.