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 3140 of 308 papers

TitleStatusHype
DCFace: Synthetic Face Generation with Dual Condition Diffusion ModelCode1
DiffuGen: Adaptable Approach for Generating Labeled Image Datasets using Stable Diffusion ModelsCode1
Generalizing Single-View 3D Shape Retrieval to Occlusions and Unseen ObjectsCode1
ColabSfM: Collaborative Structure-from-Motion by Point Cloud RegistrationCode1
CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language ModelsCode1
Automated Multi-level Preference for MLLMsCode1
Chip Placement with Diffusion ModelsCode1
CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and AugmentationCode1
CamDiff: Camouflage Image Augmentation via Diffusion ModelCode1
Actionet: An Interactive End-To-End Platform For Task-Based Data Collection And Augmentation In 3D EnvironmentCode1
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