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평가표

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보존된 평가 기록

1

코드

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

https://github.com/MindSpore-paper-code-3/code5/tree/main/RefineNet

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

https://github.com/MindSpore-paper-code-3/code6/tree/main/AlphaPose

AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time

https://github.com/MindSpore-paper-code-3/code6/tree/main/ArtTrack

ArtTrack: Articulated Multi-person Tracking in the Wild

https://github.com/MindSpore-paper-code-3/code7/tree/main/FaceRecognitionForTracking

Fine-Grained Head Pose Estimation Without Keypoints

https://github.com/MindSpore-paper-code-3/code8/tree/main/FaceRecognitionForTracking

Fine-Grained Head Pose Estimation Without Keypoints

https://github.com/MindSpore-paper-code-3/code9/tree/main/CycleGAN

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

https://github.com/MindSpore-paper-code-3/code9/tree/main/MaskRCNN

Mask R-CNN

https://github.com/MindSpore-paper-code-3/code9/tree/main/OpenPose

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

https://github.com/MindSpore-paper-code-3/code9/tree/main/PVNet

PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation

https://github.com/MindSpore-scientific-2/code-10/tree/main/VAE-Creative-Discovery-using-QD-Search

VAE based Text Style Transfer with Pivot Words Enhancement Learning

https://github.com/MindSpore-scientific-2/code-10/tree/main/ZoneoutRNN

VAE based Text Style Transfer with Pivot Words Enhancement Learning

https://github.com/MindSpore-scientific-2/code-10/tree/main/pixelshuffle1d

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

https://github.com/MindSpore-scientific-2/code-11/tree/main/pixelshuffle1d

PixelShuffler: A Simple Image Translation Through Pixel Rearrangement

https://github.com/MindSpore-scientific-2/code-11/tree/main/text-to-music

Moûsai: Text-to-Music Generation with Long-Context Latent Diffusion

https://github.com/MindSpore-scientific-2/code-2/tree/main/text-to-music

Moûsai: Text-to-Music Generation with Long-Context Latent Diffusion

https://github.com/MindSpore-scientific-2/code-4/tree/main/Least_Generative

Generative Adversarial Text to Image Synthesis

https://github.com/MindSpore-scientific-2/code-4/tree/main/MicAugment

MicAugment: One-shot Microphone Style Transfer

https://github.com/MindSpore-scientific-2/code-4/tree/main/pixelshuffle1d

PixelShuffler: A Simple Image Translation Through Pixel Rearrangement

https://github.com/MindSpore-scientific-2/code-7/tree/main/HCP_Avatar_Inferrence

GSmoothFace: Generalized Smooth Talking Face Generation via Fine Grained 3D Face Guidance

https://github.com/MindSpore-scientific-2/code-7/tree/main/WildVidFit

WildVidFit: Video Virtual Try-On in the Wild via Image-Based Controlled Diffusion Models

https://github.com/MindSpore-scientific-2/code-8/tree/main/pixelshuffle1d

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

https://github.com/MindSpore-scientific/code-1/tree/main/MicAugment

MicAugment: One-shot Microphone Style Transfer

https://github.com/MindSpore-scientific/code-1/tree/main/pixelshuffle1d

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

https://github.com/MindSpore-scientific/code-1/tree/main/token_learner

Exploring the Efficacy of Pre-trained Checkpoints in Text-to-Music Generation Task

https://github.com/MindSpore-scientific/code-10/tree/main/PR_Product

Open-Sora: Democratizing Efficient Video Production for All

https://github.com/MindSpore-scientific/code-10/tree/main/SmeLU-master

Smell and Emotion: Recognising emotions in smell-related artworks

https://github.com/MindSpore-scientific/code-10/tree/main/pixelshuffle1d

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

https://github.com/MindSpore-scientific/code-10/tree/main/text-to-music

Mustango: Toward Controllable Text-to-Music Generation

https://github.com/MindSpore-scientific/code-11/tree/main/MicAugment

MicAugment: One-shot Microphone Style Transfer

https://github.com/MindSpore-scientific/code-11/tree/main/Simba

SIMBA: Specific Identity Markers for Bone Age Assessment

https://github.com/MindSpore-scientific/code-11/tree/main/Super-Resolution-for-Root-Imaging

High-Resolution Image Synthesis with Latent Diffusion Models

https://github.com/MindSpore-scientific/code-11/tree/main/text-to-music

MuseCoco: Generating Symbolic Music from Text

https://github.com/MindSpore-scientific/code-13/tree/main/Simba

SIMBA: Specific Identity Markers for Bone Age Assessment

https://github.com/MindSpore-scientific/code-13/tree/main/VAE-Creative-Discovery-using-QD-Search

VAE based Text Style Transfer with Pivot Words Enhancement Learning

https://github.com/MindSpore-scientific/code-13/tree/main/pixelshuffle1d

PixelShuffler: A Simple Image Translation Through Pixel Rearrangement

https://github.com/MindSpore-scientific/code-13/tree/main/text-to-music

Music Transformer

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