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Synthetic Data Generation

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전체 기법 전체 데이터셋

하위 태스크: 2
평가표: 2
보존된 평가 기록: 4

The generation of tabular data by any means possible.

코드

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

https://github.com/Shuhaibm/refed

공식 코드

Beyond Sample-Level Feedback: Using Reference-Level Feedback to Guide Data Synthesis

https://github.com/SlokomManel/SynRec

공식 코드

Partially Synthetic Data for Recommender Systems: Prediction Performance and Preference Hiding

https://github.com/Smart-Agri-DIAG/sdg4ad

공식 코드

Synthetic Data Generation for Anomaly Detection on Table Grapes

https://github.com/TOPO-EPFL/TOPO-DataGen

공식 코드

CrossLoc: Scalable Aerial Localization Assisted by Multimodal Synthetic Data

https://github.com/Unity-Technologies/AnthroNet

공식 코드

AnthroNet: Conditional Generation of Humans via Anthropometrics

https://github.com/Unity-Technologies/com.unity.cv.synthetichumans

공식 코드

AnthroNet: Conditional Generation of Humans via Anthropometrics

https://github.com/X1AOX1A/UniPoll

공식 코드

UniPoll: A Unified Social Media Poll Generation Framework via Multi-Objective Optimization

https://github.com/Xyc-arch/OPAL-OversamPling-with-Artificial-LLM-generated-data

공식 코드

Synthetic Oversampling: Theory and A Practical Approach Using LLMs to Address Data Imbalance

https://github.com/a-nau/synthetic-dataset-generation

공식 코드

Scrape, Cut, Paste and Learn: Automated Dataset Generation Applied to Parcel Logistics

https://github.com/aashishrai3799/3DFaceCAM

공식 코드

Controllable 3D Generative Adversarial Face Model via Disentangling Shape and Appearance

https://github.com/aashishrai3799/Towards-Realistic-Generative-3D-Face-Models

공식 코드

Towards Realistic Generative 3D Face Models

https://github.com/abdelkarim-elhajjami/synthline

공식 코드

Synthline: A Product Line Approach for Synthetic Requirements Engineering Data Generation using Large Language Models

https://github.com/abhineet123/animal_detection

공식 코드

Animal Detection in Man-made Environments

https://github.com/abudesai/syntheticdatagen

공식 코드

TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

https://github.com/abudesai/timeVAE

공식 코드

TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

https://github.com/activevisionlab/dfnet

공식 코드

DFNet: Enhance Absolute Pose Regression with Direct Feature Matching

https://github.com/ai4bharat/bhasaanuvaad

공식 코드

BhasaAnuvaad: A Speech Translation Dataset for 13 Indian Languages

https://github.com/ai4healthuol/sssd-ecg

공식 코드

Diffusion-based Conditional ECG Generation with Structured State Space Models

https://github.com/aiotgroup/xrfv2

공식 코드

XRF V2: A Dataset for Action Summarization with Wi-Fi Signals, and IMUs in Phones, Watches, Earbuds, and Glasses

https://github.com/akulen/privgen

공식 코드

Privacy-Preserving Synthetic Educational Data Generation

https://github.com/alexandervnikitin/tsgm

공식 코드

TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series

https://github.com/alfurka/synloc

공식 코드

Generating Synthetic Data with Locally Estimated Distributions for Disclosure Control

https://github.com/algoprog/syntod

공식 코드

Simulating Task-Oriented Dialogues with State Transition Graphs and Large Language Models

https://github.com/amazon-science/synthesizrr

공식 코드

SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation

https://github.com/amazon-science/unconditional-time-series-diffusion

공식 코드

Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting

https://github.com/an-seunghwan/distvae

공식 코드

Distributional Learning of Variational AutoEncoder: Application to Synthetic Data Generation

https://github.com/angeela03/gensyn

공식 코드

GenSyn: A Multi-stage Framework for Generating Synthetic Microdata using Macro Data Sources

https://github.com/anguelos/tormentor

공식 코드

TorMentor: Deterministic dynamic-path, data augmentations with fractals

https://github.com/anonymous-785/synthetic_survival_data

공식 코드

Conditioning on Time is All You Need for Synthetic Survival Data Generation

https://github.com/antoniorv6/SMT

공식 코드

End-to-End Full-Page Optical Music Recognition for Pianoform Sheet Music

https://github.com/arasul42/lcasl-ttu-vtol-bayes-sim

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Bayesian Data Augmentation and Training for Perception DNN in Autonomous Aerial Vehicles

https://github.com/aromanusc/soundq

공식 코드

Enhanced Sound Event Localization and Detection in Real 360-degree audio-visual soundscapes

https://github.com/artemsavkin/secogan

공식 코드

Content Disentanglement for Semantically Consistent Synthetic-to-Real Domain Adaptation

https://github.com/aryan-jadon/synthetic-data-generation-and-evaluation-using-reasoning-models

공식 코드

Enhancing Domain-Specific Retrieval-Augmented Generation: Synthetic Data Generation and Evaluation using Reasoning Models

https://github.com/aryan-jadon/synthetic-data-medical-generative-ai

공식 코드

Leveraging Generative AI Models for Synthetic Data Generation in Healthcare: Balancing Research and Privacy

https://github.com/asappresearch/halugen

공식 코드

Enhancing Hallucination Detection through Perturbation-Based Synthetic Data Generation in System Responses

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