https://github.com/MindSpore-scientific/code-2/tree/main/Three-Dimensional-Lip-Motion-Network-for-Text-Independent-Speaker-Recognition-master
Real-time Neural Radiance Talking Portrait Synthesis via Audio-spatial Decomposition
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/MindSpore-scientific/code-2/tree/main/stable-sam
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
https://github.com/MindSpore-scientific/code-4/tree/main/pixelshuffle1d
https://github.com/MindSpore-scientific/code-8/tree/main/text-to-music
https://github.com/MinfengZhu/DM-GAN
DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis
https://github.com/Misaka9468/CloudTransfer-daytime2sunset-CycleGAN-Pytorch
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/Mnpr/OC-DeepLearning
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
https://github.com/Mnpr/Thoractic-Diseases-Detection
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
https://github.com/Mnpr/Thoractic_Disease_Detection
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
https://github.com/ModelBunker/Lightweight-OpenPose-PyTorch
Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB
https://github.com/Moguero/painting-style-transfer
https://github.com/MohamedAliRashad/Crystal
EDVR: Video Restoration with Enhanced Deformable Convolutional Networks
https://github.com/Mohammad-Asad-110/Fashion-Recommendation
Buy Me That Look: An Approach for Recommending Similar Fashion Products
https://github.com/MohdDanish/FastPhotoStyle1
https://github.com/Mohitkr95/Image-Super-Resolution
https://github.com/MosbehBarhoumi/VITON-PRE-PROCESSING
https://github.com/Mr-TalhaIlyas/Openpose-docker
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/MrCat9/Sklearn_Note
https://github.com/Mrnoorsingh/car-parking
https://github.com/Mrnoorsingh/image-caption
https://github.com/MuhamedKamil/Neural-Style-Transfer-
https://github.com/Muhammad-Huzaifaa/ObjectCompose
LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images
https://github.com/Multimodal3DVision/multimodal3dvision.github.io
Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation
https://github.com/MuradBozik/audio-style-transfer
MelGAN-VC: Voice Conversion and Audio Style Transfer on arbitrarily long samples using Spectrograms
https://github.com/NDCHIRO/Cartoonizer
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/NU-LL/lighttrack-
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/NVIDIA/UnsupervisedLandmarkLearning
Unsupervised Part-Based Disentangling of Object Shape and Appearance
https://github.com/NVIDIA/elucidated-text-to-audio
https://github.com/NVIDIA/mellotron
https://github.com/NVIDIA/radtts
Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis
https://github.com/NVlabs/6dof-graspnet
6-DOF GraspNet: Variational Grasp Generation for Object Manipulation
https://github.com/NVlabs/PoseCNN-PyTorch
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
https://github.com/NVlabs/industreallib
https://github.com/NVlabs/latentfusion
https://github.com/NamSahng/SingingStyleTransfer
Singing Style Transfer Using Cycle-Consistent Boundary Equilibrium Generative Adversarial Networks
https://github.com/Nanway/dfc-vae
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.