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DSAQuant reveals that aligning quantization training with the stage-wise nature of video diffusion can drastically enhance visual fidelity in text-to-video generation.
Adversarial attacks on vision-language agents reveal critical vulnerabilities, with multi-view optimization strategies proving significantly more effective than isolated approaches.
