What You See is What You GAN: Rendering Every Pixel for High-Fidelity Geometry in 3D GANs
Computer Vision and Pattern Recognition（2024）
关键词
Generative Adversarial Networks,3D Generative Adversarial Networks,Computational Cost,Image Quality,Super-resolution,Sampling Density,2D Images,Fewer Samples,3D Geometry,Surface Geometry,Generative Adversarial Networks Training,Volume Rendering,Random Number,Standard Samples,Diffusion Model,Discrete Distribution,3D Representation,3D Scene,Proposal Network,2D Data,Fréchet Inception Distance,Robust Sample,Grid Features,Sampling-based Methods,View Synthesis,High-resolution Details,Laplace Distribution,Generative Adversarial Network Framework,Geometry Features
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