MVDream is a multi-view diffusion model that functions as a generalizable 3D prior, enabling more consistent text-to-3D generation and few-shot 3D concept learning from 2D examples.
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GMFN cascades residual dense blocks with multiple feedback connections and a gated feedback module to refine low-level features using high-level context for improved SR performance.
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MVDream: Multi-view Diffusion for 3D Generation
MVDream is a multi-view diffusion model that functions as a generalizable 3D prior, enabling more consistent text-to-3D generation and few-shot 3D concept learning from 2D examples.
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Gated Multiple Feedback Network for Image Super-Resolution
GMFN cascades residual dense blocks with multiple feedback connections and a gated feedback module to refine low-level features using high-level context for improved SR performance.