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RoAR-VAE improves visual tokenizer latents for diffusion through robust prediction
The paper proposes RoAR-VAE, which adds semantic prediction and reconstruction from corrupted latents. 1-VAE.
MT Forcing proposes a training method for stable multi-turn image editing
Researchers introduce MT Forcing, which combines Single-Turn Distribution Matching Distillation and Teacher-Forcing Guidance to reduce drift in multi-turn editing with unified multimodal models.