VAE-only visual tokenizers has hit a wall for diffusion, as better pixel-level accuracy does NOT lead to higher-quality generation To be truly effective, this MiniMax paper adds semantic objectives via CLIP + self-supervision during tokenizer pretraining, having the latent space

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