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DreamFusion 可以借助预训练 2D text-to-image diffusion model,实现 text-to-3D synthesis。DreamFusion 引入了一个基于概率分布蒸馏 (probability density distillation) 的 loss,使 2D diffusion model 能够作为参数图像生成器 (parametric image generator) 优化的 prior。输入文本提示a DSLR photo of a peacock ...
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DreamFusion 可以借助预训练 2D text-to-image diffusion model,实现 text-to-3D synthesis。 DreamFusion 引入了一个基于概率分布蒸馏 (probability density distillation) 的 loss,使 2D diffusion model 能够作为参数图像生成器 (parametric image generator) 优化的 prior。
DreamFusion 可以借助预训练 2D text-to-image diffusion model,实现 text-to-3D synthesis。 DreamFusion 引入了一个基于概率分布蒸馏 (probability density distillation) 的 loss,使 2D diffusion model 能够作为参数图像生成器 (parametric image generator) 优化的 prior。
DreamFusion 可以借助预训练 2D text-to-image diffusion model,实现 text-to-3D synthesis。 DreamFusion 引入了一个基于概率分布蒸馏 (probability density distillation) 的 loss,使 2D diffusion model 能够作为参数图像生成器 (parametric image generator) 优化的 prior。
DreamFusion 可以借助预训练 2D text-to-image diffusion model,实现 text-to-3D synthesis。 DreamFusion 引入了一个基于概率分布蒸馏 (probability density distillation) 的 loss,使 2D diffusion model 能够作为参数图像生成器 (parametric image generator) 优化的 prior。