repoGitHubTrust 82 · PrimaryPublished yesterdayLive · 17h ago
voxel51/fiftyone
Refine high-quality datasets and visual AI models
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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paperDataset Biases and Shortcut Learning in Motion-Based AI-Generated Video DetectionpaperInk3D: Sculpting 3D Assets with Extremely Complex Textures via Video Generative ModelspaperNo Place to Hide: Benchmarking Video Hallucination with Background-Controlled PairspaperPreserve the Hard, Regenerate the Rest: Uncertainty-Guided Synthetic Training Data Augmentation with Diffusion Models
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Related across the graph
newsBy modeling visual saliency, AI improves ratings of artistic product designs - Tech XplorepaperNo Place to Hide: Benchmarking Video Hallucination with Background-Controlled PairspaperDisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and EditingpaperObject-centric LeJEPAnewsInto the Omniverse: Three Workflows for Improving Vision AI Agent Accuracy With Synthetic Data and Fine-TuningpaperOptimizing Visual Generative Models via Distribution-wise RewardspaperNEvo: Neural-Guided Evolutionary Video Synthesis for Dynamic Visual SelectivitypaperPreserve the Hard, Regenerate the Rest: Uncertainty-Guided Synthetic Training Data Augmentation with Diffusion ModelspaperInk3D: Sculpting 3D Assets with Extremely Complex Textures via Video Generative ModelspaperDataset Biases and Shortcut Learning in Motion-Based AI-Generated Video Detection