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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/facebookresearch/QuaterNet

공식 코드

QuaterNet: A Quaternion-based Recurrent Model for Human Motion

https://github.com/facebookresearch/SING

공식 코드

SING: Symbol-to-Instrument Neural Generator

https://github.com/facebookresearch/VideoPose3D

공식 코드

3D human pose estimation in video with temporal convolutions and semi-supervised training

https://github.com/facebookresearch/assemblyhands-toolkit

공식 코드

Benchmarks and Challenges in Pose Estimation for Egocentric Hand Interactions with Objects

https://github.com/facebookresearch/body2hands

공식 코드

Body2Hands: Learning to Infer 3D Hands from Conversational Gesture Body Dynamics

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

공식 코드

Continuous Surface Embeddings

https://github.com/facebookresearch/eft

공식 코드

Exemplar Fine-Tuning for 3D Human Model Fitting Towards In-the-Wild 3D Human Pose Estimation

https://github.com/facebookresearch/emg2pose

공식 코드

emg2pose: A Large and Diverse Benchmark for Surface Electromyographic Hand Pose Estimation

https://github.com/facebookresearch/fast3r

공식 코드

Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass

https://github.com/facebookresearch/frankmocap

공식 코드

FrankMocap: Fast Monocular 3D Hand and Body Motion Capture by Regression and Integration

https://github.com/facebookresearch/meshtalk

공식 코드

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

https://github.com/facebookresearch/metaclip

공식 코드

Altogether: Image Captioning via Re-aligning Alt-text

https://github.com/facebookresearch/mils

공식 코드

LLMs can see and hear without any training

https://github.com/facebookresearch/multi_view_active_learning

공식 코드

Rethinking the Data Annotation Process for Multi-view 3D Pose Estimation with Active Learning and Self-Training

https://github.com/facebookresearch/phosa

공식 코드

Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild

https://github.com/facebookresearch/pifuhd

공식 코드

PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization

https://github.com/facebookresearch/projectaria_tools

공식 코드

Aria Digital Twin: A New Benchmark Dataset for Egocentric 3D Machine Perception

https://github.com/facebookresearch/relative_pose_dataset

공식 코드

Instant Visual Odometry Initialization for Mobile AR

https://github.com/facebookresearch/silk

공식 코드

SiLK -- Simple Learned Keypoints

https://github.com/facebookresearch/speech-resynthesis

공식 코드

Speech Resynthesis from Discrete Disentangled Self-Supervised Representations

https://github.com/facebookresearch/video-nonlocal-net

공식 코드

Non-local Neural Networks

https://github.com/facebookresearch/xR-EgoPose

공식 코드

A Survey on 3D Egocentric Human Pose Estimation

https://github.com/facebookresearch/you2me

공식 코드

You2Me: Inferring Body Pose in Egocentric Video via First and Second Person Interactions

https://github.com/fairydance/deeprli

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DeepRLI: A Multi-objective Framework for Universal Protein--Ligand Interaction Prediction

https://github.com/fallenshock/SinDDM

공식 코드

SinDDM: A Single Image Denoising Diffusion Model

https://github.com/fang-haoshu/halpe-fullbody

공식 코드

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

https://github.com/fanglaosi/skeleton-in-context

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Skeleton-in-Context: Unified Skeleton Sequence Modeling with In-Context Learning

https://github.com/fangleai/Implicit-LVM

공식 코드

Implicit Deep Latent Variable Models for Text Generation

https://github.com/fanglinpu/JGR-P2O

공식 코드

JGR-P2O: Joint Graph Reasoning based Pixel-to-Offset Prediction Network for 3D Hand Pose Estimation from a Single Depth Image

https://github.com/fast-codi/CoDi

공식 코드

CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image Generation

https://github.com/fastnlp/nlp-dataset

공식 코드

Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation

https://github.com/fastnlp/style-transformer

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Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation

https://github.com/fatemehghanadi/xorpso

공식 코드

Optimized Deep Feature Selection for Pneumonia Detection: A Novel RegNet and XOR-Based PSO Approach

https://github.com/fcdl94/RobotChallenge

공식 코드

The RGB-D Triathlon: Towards Agile Visual Toolboxes for Robots

https://github.com/fcongrui/3dattgan

공식 코드

3DAttGAN: A 3D Attention-based Generative Adversarial Network for Joint Space-Time Video Super-Resolution

https://github.com/fdcl-gwu/tnn-mo

공식 코드

Deep Transformer Network for Monocular Pose Estimation of Ship-Based UAV

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