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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/eshaanagarwal/hr-net-implementation

Deep High-Resolution Representation Learning for Visual Recognition

https://github.com/estelabalboa/Proyecto_Final_Pilates

DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model

https://github.com/ethman/tagbox

Unsupervised Source Separation By Steering Pretrained Music Models

https://github.com/ethz-asl/hf_net

Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions

https://github.com/ethz-asl/hfnet

Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions

https://github.com/etttttte/mayfest2018

A Neural Algorithm of Artistic Style

https://github.com/euphoria0-0/Learning-Loss-for-Active-Learning

Learning Loss for Active Learning

https://github.com/evaristr/py-faster_rcnn

Mask R-CNN

https://github.com/event-driven-robotics/bimvee

The Event-Camera Dataset and Simulator: Event-based Data for Pose Estimation, Visual Odometry, and SLAM

https://github.com/explainingai-code/Dalle-Pytorch

Zero-Shot Text-to-Image Generation

https://github.com/explainingai-code/StableDiffusion-PyTorch

High-Resolution Image Synthesis with Latent Diffusion Models

https://github.com/eyalbetzalel/pytorch-generative

A Neural Algorithm of Artistic Style

https://github.com/eyalbetzalel/pytorch-generative-v2

A Neural Algorithm of Artistic Style

https://github.com/eyalbetzalel/pytorch-generative-v6

A Neural Algorithm of Artistic Style

https://github.com/fabio-sim/DeDoDe-ONNX-TensorRT

LoFTR: Detector-Free Local Feature Matching with Transformers

https://github.com/fabio-sim/LightGlue-ONNX

LightGlue: Local Feature Matching at Light Speed

https://github.com/facebookresearch/DensePose

DensePose: Dense Human Pose Estimation In The Wild

https://github.com/facebookresearch/DetectAndTrack

Detect-and-Track: Efficient Pose Estimation in Videos

https://github.com/facebookresearch/DomainBed

SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy Dataset and Benchmark

https://github.com/facebookresearch/InterHand2.6M

InterHand2.6M: A Dataset and Baseline for 3D Interacting Hand Pose Estimation from a Single RGB Image

https://github.com/facebookresearch/LaMCTS

Neural Architecture Search using Deep Neural Networks and Monte Carlo Tree Search

https://github.com/facebookresearch/MultipleAttributeTextRewriting

Multiple-Attribute Text Style Transfer

https://github.com/facebookresearch/SlowFast

Non-local Neural Networks

https://github.com/facebookresearch/audiocraft

MusicLM: Generating Music From Text

https://github.com/facebookresearch/detectron

Mask R-CNN

https://github.com/facebookresearch/detectron2

Mask R-CNN

https://github.com/facebookresearch/detectron2/tree/master/projects/DensePose/

DensePose: Dense Human Pose Estimation In The Wild

https://github.com/facebookresearch/maskrcnn-benchmark

Mask R-CNN

https://github.com/facebookresearch/meta-ot

Wasserstein-2 Generative Networks

https://github.com/facebookresearch/multiface

MeshTalk: 3D Face Animation from Speech using Cross-Modality Disentanglement

https://github.com/facebookresearch/multimodal

Hierarchical Text-Conditional Image Generation with CLIP Latents

https://github.com/facebookresearch/mvdust3r

MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 Seconds

https://github.com/facebookresearch/open_lth

Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs

https://github.com/facebookresearch/posediffusion

PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle Adjustment

https://github.com/facebookresearch/sapiens

Sapiens: Foundation for Human Vision Models

https://github.com/facebookresearch/w2ot

Wasserstein-2 Generative Networks

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