A new shared video-image tokenizer enables large language models to surpass diffusion models on standard visual generation benchmarks.
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ASASR recasts generative super-resolution flow into Sobolev Riemannian geometry via spectrally colored noise kernels and parametric adversaries from the Riesz Representation Theorem to enforce structural fidelity.
citing papers explorer
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Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation
A new shared video-image tokenizer enables large language models to surpass diffusion models on standard visual generation benchmarks.
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Coloring the Noise: Adversarial Sobolev Alignment for Faithful Image Super Resolution
ASASR recasts generative super-resolution flow into Sobolev Riemannian geometry via spectrally colored noise kernels and parametric adversaries from the Riesz Representation Theorem to enforce structural fidelity.