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보존된 평가 기록

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/YangChangHee/ICCV2023_SEFD_RELEASE

https://github.com/YangYangTaoTao/V2V-PoseNet_Pytorch

V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map

https://github.com/YanyingZH/srgan-esrgan-pytorch

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

https://github.com/YapengTian/TDAN-VSR-CVPR-2020

TDAN: Temporally Deformable Alignment Network for Video Super-Resolution

https://github.com/YapengTian/TDAN_VSR

TDAN: Temporally Deformable Alignment Network for Video Super-Resolution

https://github.com/YeongHyeon/Super-Resolution_CNN

Image Super-Resolution Using Deep Convolutional Networks

https://github.com/YeongHyeon/Super-Resolution_CNN-PyTorch

Image Super-Resolution Using Deep Convolutional Networks

https://github.com/Yingqiancui/FT-Shield

FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models

https://github.com/YiteWang/CS547-final-project

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/Yongjjun/singleshotpose

BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using Depth

https://github.com/Yotonctu/densefusion_torch1.0

PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes

https://github.com/YouYueHuang/CycleGAN_Unsupervised_Domain_Adaptation

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/Yougunhee/cycleGAN

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/YoungWoong-Cho/Decay

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/YoungXIAO13/PoseFromShape

Learning Local RGB-to-CAD Correspondences for Object Pose Estimation

https://github.com/YuanxunLu/LiveSpeechPortraits

Live Speech Portraits: Real-Time Photorealistic Talking-Head Animation

https://github.com/YuhangMing/Object-Guided-Relocalisation

Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation

https://github.com/Yuki0114/UndergraduateThesis_SRCNN_keras

Image Super-Resolution Using Deep Convolutional Networks

https://github.com/YuvalBecker/MelNet

MelNet: A Generative Model for Audio in the Frequency Domain

https://github.com/YuvalBecker/MelNet-Tensorflow

MelNet: A Generative Model for Audio in the Frequency Domain

https://github.com/YvanG/VQGAN-CLIP

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

https://github.com/ZC119/Handwritten-CycleGAN

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/ZHO-ZHO-ZHO/ComfyUI-Differential_Diffusion-Workflows

Differential Diffusion: Giving Each Pixel Its Strength

https://github.com/ZHONGCHUYUN/3d_pose_baseline_tf

A simple yet effective baseline for 3d human pose estimation

https://github.com/ZJX9999/art_track

ArtTrack: Articulated Multi-person Tracking in the Wild

https://github.com/ZQPei/deep_sort_pytorch

Mask R-CNN

https://github.com/ZVK/Talking-Heads

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

https://github.com/ZVK/talking_heads

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

https://github.com/ZainRaza14/Neural-ODE

Neural Ordinary Differential Equations

https://github.com/ZaiqiangWu/viton_rtl

Real-Time Per-Garment Virtual Try-On with Temporal Consistency for Loose-Fitting Garments

https://github.com/Zekromaegis/Neural-Style-Transfer

A Neural Algorithm of Artistic Style

https://github.com/Zero-nnkn/ml-utils/blob/main/cv/pose/openpose_predictor.py

OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields

https://github.com/Zhachory1/MusicNST

A Neural Algorithm of Artistic Style

https://github.com/ZhangGongjie/CycleGAN-Pytorch

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/ZhangNYG/ST-GCN

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

https://github.com/Zhangyanbo/iResNetLab

Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.