GRAM-HD: 3D-Consistent Image Generation at High Resolution with Generative Radiance Manifolds. (arXiv:2206.07255v1 [cs.CV])

Recent works have shown that 3D-aware GANs trained on unstructured single
image collections can generate multiview images of novel instances. The key
underpinnings to achieve this are a 3D radiance field generator and a volume
rendering process. However, existing methods either cannot generate
high-resolution images (e.g., up to 256X256) due to the high computation cost
of neural volume rendering, or rely on 2D CNNs for image-space upsampling which
jeopardizes the 3D consistency across different views. This paper proposes a
novel …

3d arxiv consistent cv generation image image generation