Synthetic Data Generation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

11 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

2 subtasks in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 325 papers with code (822 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Wasserstein GAN
  26 Jan 2017 120 repositories listed Syntology ran 13 of 22 samples · 9 unverified · 13 pointer-only (licence)
  We introduce a new algorithm named WGAN, an alternative to traditional GAN training.
• Improved Training of Wasserstein GANs
  31 Mar 2017 110 repositories listed Syntology ran 27 of 49 samples · 22 unverified · 20 pointer-only (licence)
  Generative Adversarial Networks (GANs) are powerful generative models, but suffer from training instability.
• Generating Multidimensional Clusters With Support Lines
  24 Jan 2023 4 repositories listed
  Synthetic data is essential for assessing clustering techniques, complementing and extending real data, and allowing for more complete coverage of a given problem's space.
• SinGAN-Seg: Synthetic training data generation for medical image segmentation
  29 Jun 2021 4 repositories listed
  The pipeline is evaluated using qualitative and quantitative comparisons between real and synthetic data to show that the style transfer technique used in our pipeline significantly improves the quality of the generated…
• Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions
  30 Sep 2019 4 repositories listed
  By shedding light on the promise and challenges, we hope our work can rekindle the conversation on workflows for data sharing.
• Synthetic QA Corpora Generation with Roundtrip Consistency
  12 Jun 2019 4 repositories listed
  We introduce a novel method of generating synthetic question answering corpora by combining models of question generation and answer extraction, and by filtering the results to ensure roundtrip consistency.
• REaLTabFormer: Generating Realistic Relational and Tabular Data using Transformers
  4 Feb 2023 3 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  It first creates a parent table using an autoregressive GPT-2 model, then generates the relational dataset conditioned on the parent table using a sequence-to-sequence (Seq2Seq) model.
• Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions
  27 Nov 2022 3 repositories listed
  We leverage this procedure and evaluate the performance of GnIES on an array of synthetic and semi-synthetic data sets, and real data from a biological system and a tightly controlled physical system.
• Scrape, Cut, Paste and Learn: Automated Dataset Generation Applied to Parcel Logistics
  18 Oct 2022 3 repositories listed
  This approach of image scraping and selection relaxes the need for a real-world domain-specific dataset that must be either publicly available or created for this purpose.
• RLIP: Relational Language-Image Pre-training for Human-Object Interaction Detection
  5 Sep 2022 3 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  The task of Human-Object Interaction (HOI) detection targets fine-grained visual parsing of humans interacting with their environment, enabling a broad range of applications.
• Delving into High-Quality Synthetic Face Occlusion Segmentation Datasets
  12 May 2022 3 repositories listed
  This paper performs comprehensive analysis on datasets for occlusion-aware face segmentation, a task that is crucial for many downstream applications.
• CrossLoc: Scalable Aerial Localization Assisted by Multimodal Synthetic Data
  16 Dec 2021 3 repositories listed Syntology ran 0 of 11 samples · 11 unverified
  We present a visual localization system that learns to estimate camera poses in the real world with the help of synthetic data.
• TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation
  15 Nov 2021 3 repositories listed Syntology ran 1 of 6 samples · 5 unverified
  Such interpretability can be highly advantageous in applications requiring transparency of model outputs or where users desire to inject prior knowledge of time-series patterns into the generative model.
• Burst Denoising with Kernel Prediction Networks
  6 Dec 2017 3 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  We present a technique for jointly denoising bursts of images taken from a handheld camera.
• HP-GAN: Probabilistic 3D human motion prediction via GAN
  27 Nov 2017 3 repositories listed
  Our model, which we call HP-GAN, learns a probability density function of future human poses conditioned on previous poses.
• Annif at SemEval-2025 Task 5: Traditional XMTC augmented by LLMs
  28 Apr 2025 2 repositories listed
  This paper presents the Annif system in SemEval-2025 Task 5 (LLMs4Subjects), which focussed on subject indexing using large language models (LLMs).
• TabularARGN: A Flexible and Efficient Auto-Regressive Framework for Generating High-Fidelity Synthetic Data
  21 Jan 2025 2 repositories listed Syntology ran 1 of 5 samples · 4 unverified
  Synthetic data generation for tabular datasets must balance fidelity, efficiency, and versatility to meet the demands of real-world applications.
• Using matrix-product states for time-series machine learning
  20 Dec 2024 2 repositories listed
  Here, we develop and apply an MPS-based algorithm, MPSTime, for learning a joint probability distribution underlying an observed time-series dataset, and show how it can be used to tackle important time-series ML…
• Qwen2.5-Coder Technical Report
  18 Sep 2024 2 repositories listed Syntology ran 8 of 9 samples · 1 unverified · 9 pointer-only (licence)
  In this report, we introduce the Qwen2.
• A Synthetic Dataset for Personal Attribute Inference
  11 Jun 2024 2 repositories listed Syntology ran 5 of 6 samples · 1 unverified
  Recently, powerful Large Language Models (LLMs) have become easily accessible to hundreds of millions of users world-wide.
• MegActor: Harness the Power of Raw Video for Vivid Portrait Animation
  31 May 2024 2 repositories listed Syntology ran 9 of 17 samples · 8 unverified
  Despite raw driving videos contain richer information on facial expressions than intermediate representations such as landmarks in the field of portrait animation, they are seldom the subject of research.
• IR2: Information Regularization for Information Retrieval
  25 Feb 2024 2 repositories listed
  This approach, representing a novel application of regularization techniques in synthetic data creation for IR, is tested on three recent IR tasks characterized by complex queries: DORIS-MAE, ArguAna, and WhatsThatBook.
• Relation Extraction in underexplored biomedical domains: A diversity-optimised sampling and synthetic data generation approach
  10 Nov 2023 2 repositories listed
  In addition to their evaluation in few-shot settings, we explore the potential of open Large Language Models (Vicuna-13B) as synthetic data generator and propose a new workflow for this purpose.
• Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark
  25 Oct 2023 2 repositories listed Syntology ran 5 of 5 samples · 0 unverified
  In an empirical study, we evaluate the performance of five state-of-the-art models for tabular data generation on eleven distinct tabular datasets.
• AnthroNet: Conditional Generation of Humans via Anthropometrics
  7 Sep 2023 2 repositories listed
  We present a novel human body model formulated by an extensive set of anthropocentric measurements, which is capable of generating a wide range of human body shapes and poses.
• Improving 2D Human Pose Estimation in Rare Camera Views with Synthetic Data
  13 Jul 2023 2 repositories listed
  Methods and datasets for human pose estimation focus predominantly on side- and front-view scenarios.
• BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motion
  29 Jun 2023 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  BEDLAM is useful for a variety of tasks and all images, ground truth bodies, 3D clothing, support code, and more are available for research purposes.
• TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models
  18 May 2023 2 repositories listed
  Factual consistency evaluation is often conducted using Natural Language Inference (NLI) models, yet these models exhibit limited success in evaluating summaries.
• Noise-Aware Statistical Inference with Differentially Private Synthetic Data
  28 May 2022 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified
  For example, confidence intervals become too narrow, which we demonstrate with a simple experiment.
• Generative Wind Power Curve Modeling Via Machine Vision: A Self-learning Deep Convolutional Network Based Method
  19 Aug 2021 2 repositories listed
  First, different from traditional studies regarding the WPC modeling as a curve fitting problem, in this paper, we renovate the WPC modeling formulation from a machine vision aspect.

Syntology lines on 14 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.