
Ep#21 TesserAct: Learning 4D Embodied World Models
RoboPapers
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Training 4D World Models: Resources and Techniques
This chapter explores the complexities and resource requirements of training 4D embodied world models with robotic arms and extensive datasets. It highlights simplified training methods like LoRa fine-tuning and discusses the surprising effectiveness of fewer videos for model fine-tuning.
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