Tsinghua's RoAR-VAE improves visual tokenizers via robust prediction
Tsinghua-LeapLab · hf · 2026-10-20
RoAR-VAE from Tsinghua's LeapLab improves visual tokenizers by enforcing robust prediction of semantics and reconstruction from corrupted latents, balancing reconstruction fidelity with diffusion learnability.
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