From GANs to Diffusion: GDA for Perception Tasks Post date November 19, 2025 Post author By Instancing Post categories In data-filtering, diffusion-models, downstream-models, gans, generative-data-augmentation, long-tailed-segmentation, stable-diffusion, x-paste-baseline
DiverGen Proves AI Models Learn Better with Variety Post date November 12, 2025 Post author By Instancing Post categories In data-diversity, data-scaling, deepfloyd-if, diffusion-models, divergen-implementation, generative-data-augmentation, instance-segmentation, long-tail-recognition
The Impact of Generative Data Diversity on AI Accuracy Post date November 12, 2025 Post author By Instancing Post categories In category-diversity, data-diversity, data-scaling, diffusion-models, generative-data-augmentation, instance-segmentation, long-tail-recognition, lvis-benchmark
Data Diversity Matters More Than Data Quantity in AI Post date November 11, 2025 Post author By Instancing Post categories In data-diversity, data-scaling, diffusion-models, generative-data-augmentation, instance-segmentation, long-tail-recognition, model-performance-analysis, x-paste-comparison
How Generative Data Expands AI’s Understanding of the Real World Post date November 11, 2025 Post author By Instancing Post categories In clip-inter-similarity, computer-vision-pipeline, data-diversity, data-scaling, diffusion-models, generative-data-augmentation, instance-segmentation, long-tail-recognition
DiverGen Makes Large-Scale Instance Segmentation Training More Effective Post date November 11, 2025 Post author By Instancing Post categories In clip-filtering, data-diversity, data-scaling, diffusion-models, generative-data-augmentation, instance-segmentation, long-tail-recognition, sam-annotation
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