Dataset
Research papers, repositories, and articles about dataset
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HumanScale: Egocentric Human Video Can Outperform Real-Robot Data for Embodied Pretraining
Shows that carefully processed first-person human videos can beat expensive teleoperated robot data for pretraining embodied models. If robot data collection is killing your budget, start experimenting with egocentric video pipelines.
HumanScale: Egocentric Human Video Can Outperform Real-Robot Data for Embodied Pretraining
Finds that filtered first-person human videos can beat costly robot demonstrations for pretraining. If you’re collecting robot data manually, you should test this cheaper pipeline.
DF3DV-1K: A Large-Scale Dataset and Benchmark for Distractor-Free Novel View Synthesis
Releases a 1,048-scene dataset tuned for “clean” novel view synthesis without background clutter. If you train 3D or radiance-field models, this is a ready-made stress test and fine-tuning set.
DF3DV-1K: A Large-Scale Dataset and Benchmark for Distractor-Free Novel View Synthesis
Curates thousands of “clean” scenes for testing 3D view generation without messy backgrounds. If your models cheat by using clutter, this dataset will expose them.