https://github.com/qingshi9974/eccv2024-adpaticmh
공식 코드Image Compression for Machine and Human Vision with Spatial-Frequency Adaptation
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://github.com/qingshi9974/iclr2024-ftic
공식 코드https://github.com/quantumcomputinglab/qpixlpp
공식 코드Quantum pixel representations and compression for $N$-dimensional images
https://github.com/rddy/pico
공식 코드Pragmatic Image Compression for Human-in-the-Loop Decision-Making
https://github.com/reysam93/Graph_Deep_Decoder
공식 코드An Underparametrized Deep Decoder Architecture for Graph Signals
https://github.com/rezafuru/frankensplit
공식 코드https://github.com/rezafuru/the-fool
공식 코드FOOL: Addressing the Downlink Bottleneck in Satellite Computing with Neural Feature Compression
https://github.com/richzhang/PerceptualSimilarity
공식 코드Exploring Compressed Image Representation as a Perceptual Proxy: A Study
https://github.com/sdl-asu/acla
공식 코드https://github.com/sensebrain/jpd-se
공식 코드JPD-SE: High-Level Semantics for Joint Perception-Distortion Enhancement in Image Compression
https://github.com/seungminjeon-github/ctc
공식 코드Context-Based Trit-Plane Coding for Progressive Image Compression
https://github.com/seyedjalaleddinmousavirad/multiobjectivejpegimagecompression
공식 코드Energy-Aware JPEG Image Compression: A Multi-Objective Approach
https://github.com/shaojiawei07/BottleNetPlusPlus
공식 코드BottleNet++: An End-to-End Approach for Feature Compression in Device-Edge Co-Inference Systems
https://github.com/sharc-lab/rapid-inr
공식 코드Rapid-INR: Storage Efficient CPU-free DNN Training Using Implicit Neural Representation
https://github.com/smartcameras/PrivEdge
공식 코드PrivEdge: From Local to Distributed Private Training and Prediction
https://github.com/snailforce/sim-net
공식 코드https://github.com/snath-xoc/lifting
공식 코드MERCURY: A fast and versatile multi-resolution based global emulator of compound climate hazards
https://github.com/ssgms/a-learned-pixel-by-pixel-lossless-image-compression-method-with-59k-parameters-and-parallel-decoding
공식 코드A Learned Pixel-by-Pixel Lossless Image Compression Method with 59K Parameters and Parallel Decoding
https://github.com/sssohrab/PhDthesis
공식 코드Learning to compress and search visual data in large-scale systems
https://github.com/sumn2u/neuralnetwork-jpeg
공식 코드https://github.com/taaha-khan/2023-compact-image-compression
공식 코드https://github.com/tensorflow/compression
공식 코드https://github.com/tensorflow/compression/tree/master/models/hific
공식 코드https://github.com/thierrydumas/context_adaptive_neural_network_based_prediction
공식 코드Context-adaptive neural network based prediction for image compression
https://github.com/tianyuan168326/videosemanticcompression-pytorch
공식 코드SMC++: Masked Learning of Unsupervised Video Semantic Compression
https://github.com/tinyvision/IPCodec
공식 코드Spatiotemporal Entropy Model is All You Need for Learned Video Compression
https://github.com/tokkiwa/imagetextcoding
공식 코드LMM-driven Semantic Image-Text Coding for Ultra Low-bitrate Learned Image Compression
https://github.com/tongdaxu/idempotence-and-perceptual-image-compression
공식 코드https://github.com/treammm/Compression
공식 코드ProxIQA: A Proxy Approach to Perceptual Optimization of Learned Image Compression
https://github.com/trougnouf/manypriors
공식 코드End-to-end optimized image compression with competition of prior distributions
https://github.com/uberkk/imagecompressionlearnedliftingandlearnedtreebasedmodels
공식 코드Image Compression With Learned Lifting-Based DWT and Learned Tree-Based Entropy Models
https://github.com/umd-huang-lab/vlm-poisoning
공식 코드Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models
https://github.com/ustc-imcl/nvtc
공식 코드https://github.com/viiika/Meissonic
공식 코드https://github.com/vincentchandelier/gacn
공식 코드Learned Focused Plenoptic Image Compression with Microimage Preprocessing and Global Attention
https://github.com/vutuanhai237/QuantumCompressor
공식 코드A Fast Quantum Image Compression Algorithm based on Taylor Expansion
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.