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cs.CV2026
FlowCoMotion: Text-to-Motion Generation via Token-Latent Flow Modeling
Dawei Guan, Di Yang, Chengjie Jin +1
Text-to-motion generation is driven by learning motion representations for semantic alignment with language. Existing methods rely on either continuous or discrete motion represent…
cs.CV2024
Scaling Image Tokenizers with Grouped Spherical Quantization
Jiangtao Wang, Zhen Qin, Yifan Zhang +4
Vision tokenizers have gained a lot of attraction due to their scalability and compactness; previous works depend on old-school GAN-based hyperparameters, biased comparisons, and a…