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Text-to-music language models begin with a choice usually made by default: how to tokenize music, and the ordering is clean and surprising: representation, not model size, is the binding variable for distributional fidelity.
This work presents the first system that, from a single illustration, generates all the structured information a Live2D runtime consumes: ordered RGBA layers, a deformation mesh per layer, and the parameter-driven keypose vertex offsets that make the character move.
This work proposes Test-Time Curriculum (TTC), a simple and model-agnostic framework that adapts a detector on unlabeled test data through curriculum-based self-training and substantially improves overall detection performance under diverse unseen-generator shifts, establishing a practical and effective test-time adapt...
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