https://github.com/visionNoob/hrnet_pytorch
Deep High-Resolution Representation Learning for Human Pose Estimation
Papers with Code 아카이브
Vocal Bursts Intensity Prediction
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predict the intensity of 10 categorical emotions
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/vpsg-research/waveguard
SimSwap: An Efficient Framework For High Fidelity Face Swapping
https://github.com/vvvm23/vqvae-2
https://github.com/w-sugar/prtr
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/wangyx240/High-Resolution-Image-Inpainting
Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting
https://github.com/wangyx240/High-Resolution-Image-Inpainting-GAN
Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting
https://github.com/wedeling/EasySurrogate
Deep active subspaces - a scalable method for high-dimensional uncertainty propagation
https://github.com/wenbihan/vidosat_icip2015
VIDOSAT: High-dimensional Sparsifying Transform Learning for Online Video Denoising
https://github.com/wentao99/pix2pixHD
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
https://github.com/whisperspeech/whisperspeech
https://github.com/will-wang19/Image-Edit-with-Mask-generated-by-Stable-Diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
https://github.com/willsharpless/deepreach
DeepReach: A Deep Learning Approach to High-Dimensional Reachability
https://github.com/wilsoncai1992/adaptest
Data-adaptive statistics for multiple hypothesis testing in high-dimensional settings
https://github.com/woctezuma/SimSwap-colab
SimSwap: An Efficient Framework For High Fidelity Face Swapping
https://github.com/wsjzha/deep-high-resolution-net.pytorch
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/xiaoiker/meta_dpm
https://github.com/xiuyu0000/new_papers_codes/tree/main/Pix2PixHD
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
https://github.com/xiuyu0000/papers_with_examples/tree/main/Lite-HRNet
https://github.com/xmu-xiaoma666/External-Attention-pytorch/blob/master/attention/PolarizedSelfAttention.py
Polarized Self-Attention: Towards High-quality Pixel-wise Regression
https://github.com/xypu98/two-stage-HDR-video
A Two-stage Deep Network for High Dynamic Range Image Reconstruction
https://github.com/xzt008/standard-gp-is-all-you-need-for-hdbo
High-Dimensional Bayesian Optimization with Sparse Axis-Aligned Subspaces
https://github.com/yakhyo/faceboxes-pytorch
https://github.com/yangfeifei02/HOSP
High-order structure preserving graph neural network for few-shot learning
https://github.com/yanggeng1995/GAN-TTS
https://github.com/yangling0818/contextdiff
High-Resolution Image Synthesis with Latent Diffusion Models
https://github.com/yangyucheng000/CRA
Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting
https://github.com/yangyucheng000/HRNetW48_cls
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/yangyucheng000/ICT
High-Fidelity Pluralistic Image Completion with Transformers
https://github.com/yangyucheng000/LiteHRNet
https://github.com/yangyucheng000/RefineNet
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
https://github.com/yangyucheng000/deepbsde
Solving high-dimensional partial differential equations using deep learning
https://github.com/yanxht/TripAdvisorData
https://github.com/yaxingwang/DeepI2I
Large Scale GAN Training for High Fidelity Natural Image Synthesis
https://github.com/yaxingwang/MineGAN
Large Scale GAN Training for High Fidelity Natural Image Synthesis
https://github.com/yerfor/geneface
GeneFace: Generalized and High-Fidelity Audio-Driven 3D Talking Face Synthesis
https://github.com/yfjcode/ICNet
ICNet for Real-Time Semantic Segmentation on High-Resolution Images
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.