CommaVQ-GPT2M Open-Source Model - Free Deployment for Unconditional Driving Video Generation

Commavq Gpt2m

Developed by commaai

Unconditional driving video generation model trained on the commaVQ dataset

Downloads 98

Release Time : 6/29/2023

Model Overview

This model can unconditionally generate video clips of driving scenes, suitable for autonomous driving simulation and driving behavior research

Unconditional Video Generation

Generates coherent driving scene videos without requiring input conditions

5-Second Video Generation

Capable of generating driving scene video clips lasting 5 seconds

Driving Scene Specialization

Video generation model specifically optimized for driving scenes

Driving Video Generation

Unconditional Video Synthesis

Autonomous Driving Scene Simulation

Autonomous Driving

Driving Scene Simulation

Generates various driving scenes for autonomous driving system testing

5-second coherent driving video

Data Augmentation

Generates additional training data for autonomous driving training

Diverse driving scene videos

Research

Driving Behavior Research

Generates driving scenes under different conditions for behavior analysis

Property	Details
Library Name	transformers
Pipeline Tag	unconditional-image-generation
Datasets	commaai/commavq

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