https://github.com/Honlan/DMT
공식 코드Disentangled Makeup Transfer with Generative Adversarial Network
Papers with Code 아카이브
1 Image, 2*2 Stitchi
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/HowieMa/NSRMhand
공식 코드Nonparametric Structure Regularization Machine for 2D Hand Pose Estimation
https://github.com/HuaWeitong/REDE
공식 코드REDE: End-to-end Object 6D Pose Robust Estimation Using Differentiable Outliers Elimination
https://github.com/HuanBor/AttenST
공식 코드AttenST: A Training-Free Attention-Driven Style Transfer Framework with Pre-Trained Diffusion Models
https://github.com/HuangJunJie2017/UDP-Pose
공식 코드The Devil is in the Details: Delving into Unbiased Data Processing for Human Pose Estimation
https://github.com/IBM/RegionViT
공식 코드RegionViT: Regional-to-Local Attention for Vision Transformers
https://github.com/IDEA-CCNL/Taiyi-Diffusion-XL
공식 코드https://github.com/IDEA-Research/HumanArt
공식 코드Human-Art: A Versatile Human-Centric Dataset Bridging Natural and Artificial Scenes
https://github.com/IDEA-Research/OSX
공식 코드One-Stage 3D Whole-Body Mesh Recovery with Component Aware Transformer
https://github.com/IDEA-Research/UniPose
공식 코드https://github.com/IDEA-Research/detrex
공식 코드https://github.com/IDKiro/sdxs
공식 코드SDXS: Real-Time One-Step Latent Diffusion Models with Image Conditions
https://github.com/IF-A-CAT/LIR-LIVO
공식 코드https://github.com/IIGROUP/PoseDet
공식 코드PoseDet: Fast Multi-Person Pose Estimation Using Pose Embedding
https://github.com/IIT-PAVIS/lifting_events_to_3d_hpe
공식 코드https://github.com/INVOKERer/AdaRevD
공식 코드AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurring
https://github.com/IRMVLab/PWCLONet
공식 코드PWCLO-Net: Deep LiDAR Odometry in 3D Point Clouds Using Hierarchical Embedding Mask Optimization
https://github.com/IRVLUTD/FewSOL-DataLoader
공식 코드FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments
https://github.com/IRVLUTD/HO-Cap
공식 코드https://github.com/IRVLUTD/fewsol-toolkit
공식 코드FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments
https://github.com/IRVLUTD/meta-dataset
공식 코드FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments
https://github.com/IRVLab/unrolling
공식 코드IMU-Assisted Learning of Single-View Rolling Shutter Correction
https://github.com/IShengFang/Self-Contained_Stylization
공식 코드Self-Contained Stylization via Steganography for Reverse and Serial Style Transfer
https://github.com/IcarusWizard/PixelwiseRegression
공식 코드https://github.com/IkeaASM/IKEA_ASM_Dataset
공식 코드The IKEA ASM Dataset: Understanding People Assembling Furniture through Actions, Objects and Pose
https://github.com/InnovArul/vidreid_cosegmentation
공식 코드Co-segmentation Inspired Attention Module for Video-based Computer Vision Tasks
https://github.com/IntelLabs/baa-ngp
공식 코드BAA-NGP: Bundle-Adjusting Accelerated Neural Graphics Primitives
https://github.com/IsaacYQH/WildFX
공식 코드WildFX: A DAW-Powered Pipeline for In-the-Wild Audio FX Graph Modeling
https://github.com/IssamLaradji/CBStyling
공식 코드Class-Based Styling: Real-time Localized Style Transfer with Semantic Segmentation
https://github.com/JOY-MM/JoyGen
공식 코드JoyGen: Audio-Driven 3D Depth-Aware Talking-Face Video Editing
https://github.com/JaeYeonKang/STVUN-Pytorch
공식 코드https://github.com/JakubSochor/BoxCars
공식 코드https://github.com/JanaldoChen/Anim-NeRF
공식 코드https://github.com/JarrentWu1031/CCPL
공식 코드CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer
https://github.com/Jeff-sjtu/HybrIK
공식 코드https://github.com/Jeff-sjtu/res-loglikelihood-regression
공식 코드Human Pose Regression with Residual Log-likelihood Estimation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.