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
Global Tensor Motion PlanningCode1
HM3D-ABO: A Photo-realistic Dataset for Object-centric Multi-view 3D ReconstructionCode1
Faithful Persona-based Conversational Dataset Generation with Large Language ModelsCode1
Automated Multi-level Preference for MLLMsCode1
DiffuGen: Adaptable Approach for Generating Labeled Image Datasets using Stable Diffusion ModelsCode1
Forcing Diffuse Distributions out of Language ModelsCode1
Bounding Box-Guided Diffusion for Synthesizing Industrial Images and Segmentation MapCode1
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMsCode1
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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