SOTAVerified

Dataset Generation

The task involves enhancing the training of target application (e.g. autonomous driving systems) by generating datasets of diverse and critical elements (e.g. traffic scenarios). Traditional methods rely on expensive and limited datasets, which often fail to capture rare but essential situations that can pose risks during testing.

Papers

Showing 5160 of 308 papers

TitleStatusHype
Dataset Diffusion: Diffusion-based Synthetic Dataset Generation for Pixel-Level Semantic SegmentationCode1
Oasis: One Image is All You Need for Multimodal Instruction Data SynthesisCode1
Bounding Box-Guided Diffusion for Synthesizing Industrial Images and Segmentation MapCode1
PEGASUS: Physically Enhanced Gaussian Splatting Simulation System for 6DoF Object Pose Dataset GenerationCode1
Actionet: An Interactive End-To-End Platform For Task-Based Data Collection And Augmentation In 3D EnvironmentCode1
Afro-MNIST: Synthetic generation of MNIST-style datasets for low-resource languagesCode1
OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic SynthesisCode1
Cephalo: Multi-Modal Vision-Language Models for Bio-Inspired Materials Analysis and DesignCode1
Real-Time Per-Garment Virtual Try-On with Temporal Consistency for Loose-Fitting GarmentsCode1
DCFace: Synthetic Face Generation with Dual Condition Diffusion ModelCode1
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