https://github.com/hywang66/mmist
Multimodality-guided Image Style Transfer using Cross-modal GAN Inversion
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/hz-ants/DenseFusion
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
https://github.com/hz-ants/DensePose
https://github.com/hz-ants/FFB6D
PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation
https://github.com/hz-ants/HybridPose
HybridPose: 6D Object Pose Estimation under Hybrid Representations
https://github.com/hz-ants/Pix2Pose
Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation
https://github.com/hz-ants/Pose2Seg
https://github.com/hz-ants/Posecnn
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
https://github.com/hz-ants/SilhoNet
https://github.com/hz-ants/apc-vision-toolbox
Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge
https://github.com/hz-ants/betapose
Estimating 6D Pose From Localizing Designated Surface Keypoints
https://github.com/hz-ants/cosypose-Base-on-multi-view
CosyPose: Consistent multi-view multi-object 6D pose estimation
https://github.com/hz-ants/obtain-an-object-mesh-and-create-labels
https://github.com/hz-ants/segmentation-driven-pose-train-
Estimating 6D Pose From Localizing Designated Surface Keypoints
https://github.com/hz-ants/yolo-6d
https://github.com/hzh8311/pyhowfar
https://github.com/hzuppur/Cotatron
Cotatron: Transcription-Guided Speech Encoder for Any-to-Many Voice Conversion without Parallel Data
https://github.com/iamnotahumanbecauseiamabot/Neural-Style-Transfer
https://github.com/iamrehman/chestXrayDiseaseDetection
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
https://github.com/ibaiGorordo/ONNX-CenterSnap-6D-Pose-and-Shape-Estimation
https://github.com/ibaiGorordo/Pytorch-KP2D-Feature-Tracking
Neural Outlier Rejection for Self-Supervised Keypoint Learning
https://github.com/ibaiGorordo/Sapiens-Pytorch-Inference
https://github.com/ibm/max-human-pose-estimator
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/ibrahimayaz/Fila-GAN
https://github.com/iclavera/learning_to_adapt
Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning
https://github.com/icon-lab/pflsynth
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/icyeyeball/Peitent
Style Transfer for Anime Sketches with Enhanced Residual U-net and Auxiliary Classifier GAN
https://github.com/idealo/image-super-resolution
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/idonahum/photoVerse
PhotoVerse: Tuning-Free Image Customization with Text-to-Image Diffusion Models
https://github.com/ignoww/ZOODiP
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
https://github.com/igor185/research-paper-implementation
https://github.com/iigroup/mm-celeba-hq-dataset
Conditional Image Generation and Manipulation for User-Specified Content
https://github.com/iiyama-lab/PS-VAEs
Partially-Shared Variational Auto-encoders for Unsupervised Domain Adaptation with Target Shift
https://github.com/illume-unified-mllm/ILLUME_plus
ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement
https://github.com/ilovepose/DarkPose
Distribution-Aware Coordinate Representation for Human Pose Estimation
https://github.com/ilovepose/fast-human-pose-estimation.pytorch
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.