https://github.com/littlepure2333/samplingaug
공식 코드SamplingAug: On the Importance of Patch Sampling Augmentation for Single Image Super-Resolution
Papers with Code 아카이브
16k
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 6
- 평가표
- 1
- 보존된 평가 기록
- 1
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/liu-sd/multi-output-deblur
공식 코드https://github.com/liu-zihang/samsr
공식 코드Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution
https://github.com/liuchen1997/rfaconv
공식 코드RFAConv: Innovating Spatial Attention and Standard Convolutional Operation
https://github.com/liudongyang6/fcfd
공식 코드https://github.com/liuguandu/rc-lut
공식 코드Reconstructed Convolution Module Based Look-Up Tables for Efficient Image Super-Resolution
https://github.com/liuliu-55/rofusion
공식 코드ROFusion: Efficient Object Detection using Hybrid Point-wise Radar-Optical Fusion
https://github.com/liuofficial/sdp
공식 코드A Spectral Diffusion Prior for Hyperspectral Image Super-Resolution
https://github.com/liuwei16/CSP
공식 코드Center and Scale Prediction: Anchor-free Approach for Pedestrian and Face Detection
https://github.com/liuweijie19980216/DRL-for-FSOD
공식 코드https://github.com/liuxingbin/dbot
공식 코드https://github.com/liuxinhai/FG3D-Net
공식 코드Fine-Grained 3D Shape Classification with Hierarchical Part-View Attentions
https://github.com/liuyang-ict/sap-detr
공식 코드https://github.com/liuyi1989/pwrf
공식 코드Part-Whole Relational Fusion Towards Multi-Modal Scene Understanding
https://github.com/liuyi1989/seamless-detection
공식 코드Seamless Detection: Unifying Salient Object Detection and Camouflaged Object Detection
https://github.com/liuziyu77/rar
공식 코드RAR: Retrieving And Ranking Augmented MLLMs for Visual Recognition
https://github.com/liuziyu77/visual-rft
공식 코드https://github.com/liuzywen/cod
공식 코드Boosting Camouflaged Object Detection with Dual-Task Interactive Transformer
https://github.com/liuzywen/hrtransnet
공식 코드HRTransNet: HRFormer-Driven Two-Modality Salient Object Detection
https://github.com/liuzywen/lfscribble
공식 코드LFSamba: Marry SAM with Mamba for Light Field Salient Object Detection
https://github.com/liuzywen/rgbtscribble-icme2023
공식 코드https://github.com/liuzywen/ssfam
공식 코드https://github.com/liuzywen/swinnet
공식 코드SwinNet: Swin Transformer drives edge-aware RGB-D and RGB-T salient object detection
https://github.com/liuzywen/tritransnet
공식 코드TriTransNet: RGB-D Salient Object Detection with a Triplet Transformer Embedding Network
https://github.com/living-with-machines/mapreader
공식 코드MapReader: A Computer Vision Pipeline for the Semantic Exploration of Maps at Scale
https://github.com/liwei109/sepvit
공식 코드https://github.com/liwrui/scenedreamer360
공식 코드SceneDreamer360: Text-Driven 3D-Consistent Scene Generation with Panoramic Gaussian Splatting
https://github.com/lixiaotong97/mc-beit
공식 코드mc-BEiT: Multi-choice Discretization for Image BERT Pre-training
https://github.com/lixilinx/MCMIL
공식 코드A Multiclass Multiple Instance Learning Method with Exact Likelihood
https://github.com/lixinustc/awesome-diffusion-model-for-image-processing
공식 코드Diffusion Models for Image Restoration and Enhancement -- A Comprehensive Survey
https://github.com/lixinustc/kvqe-challenge-cvpr-ntire2025
공식 코드NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: Methods and Results
https://github.com/liyih/corenet
공식 코드https://github.com/liyih/rctrans
공식 코드RCTrans: Radar-Camera Transformer via Radar Densifier and Sequential Decoder for 3D Object Detection
https://github.com/liyuantsao/BFSR
공식 코드Boosting Flow-based Generative Super-Resolution Models via Learned Prior
https://github.com/liyuantsao/HoliSDiP
공식 코드HoliSDiP: Image Super-Resolution via Holistic Semantics and Diffusion Prior
https://github.com/liyunfenglyf/kf_in_underwater_trackers
공식 코드Underwater Object Tracker: UOSTrack for Marine Organism Grasping of Underwater Vehicles
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.