Although recent advances in AI-based Text-to-Motion (T2M) algorithms have enabled text-driven 3D Animated Human (3DAH), often referred to as "Puppeteers" for their ability to streamline 3D animation design, the quality of the generated motion remains a critical concern. More importantly, the T2M field continues to lack...
Ying-Jie Zhou, Rong-Hui Li, Zhao-He Lv et al.· 0 citations
TOLA is proposed, a Text-aware One-step Latent Adaptation framework without iterative image-text diffusion that consistently surpasses existing diffusion-based TSR methods by at least 2.72 dB in PSNR on CTR-TSR-Test.
It is argued that efficient Real-ISR requires not only a shorter sampling trajectory, but also specialized modeling of faithful reconstruction and perceptual detail synthesis, and proposed PixelIR, a fidelity-perception decoupling framework built upon pixel-space image-residual flow matching.
Bingtian Qiao, Yue Shi, Yong Guo et al.· 0 citations
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