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Forget brute-force VLMs: parameter-efficient fine-tuning with high-quality rationales unlocks surprisingly accurate and interpretable time-series anomaly detection.
Forget GAN inversions – now you can steer diffusion models with a dynamically weighted soup of differentiable rewards, including a VQA-based reward for language-vision reasoning, and get SOTA image edits.
Text-to-3D generation gets a semantic upgrade: DreamPartGen creates 3D objects with parts that not only look right but also understand their relationships and align with textual descriptions.
