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Found 3 papers, 2 papers with code
Generative Models: What do they know? Do they know things? Let's find out!
Generative models have been shown to be capable of synthesizing highly detailed and realistic images.
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation
We propose to apply chain rule on the learned gradients, and back-propagate the score of a diffusion model through the Jacobian of a differentiable renderer, which we instantiate to be a voxel radiance field.
Ranked #6 on
Text to 3D
on T$^3$Bench
Text-Free Learning of a Natural Language Interface for Pretrained Face Generators
We propose Fast text2StyleGAN, a natural language interface that adapts pre-trained GANs for text-guided human face synthesis.
