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cs.CV2025
LoFT: LoRA-fused Training Dataset Generation with Few-shot Guidance
Jae Myung Kim, Stephan Alaniz, Cordelia Schmid +1
Despite recent advances in text-to-image generation, using synthetically generated data seldom brings a significant boost in performance for supervised learning. Oftentimes, synthe…
cs.AI2025
Feasibility with Language Models for Open-World Compositional Zero-Shot Learning
Jae Myung Kim, Stephan Alaniz, Cordelia Schmid +1
Humans can easily tell if an attribute (also called state) is realistic, i.e., feasible, for an object, e.g. fire can be hot, but it cannot be wet. In Open-World Compositional Zero…