  Recent years have witnessed the tremendous progress of 3D GANs for generating
view-consistent radiance fields with photo-realism. Yet, high-quality
generation of human radiance fields remains challenging, partially due to the
limited human-related priors adopted in existing methods. We present HumanGen,
a novel 3D human generation scheme with detailed geometry and
$\text{360}^{\circ}$ realistic free-view rendering. It explicitly marries the
3D human generation with various priors from the 2D generator and 3D
reconstructor of humans through the design of "anchor image". We introduce a
hybrid feature representation using the anchor image to bridge the latent space
of HumanGen with the existing 2D generator. We then adopt a pronged design to
disentangle the generation of geometry and appearance. With the aid of the
anchor image, we adapt a 3D reconstructor for fine-grained details synthesis
and propose a two-stage blending scheme to boost appearance generation.
Extensive experiments demonstrate our effectiveness for state-of-the-art 3D
human generation regarding geometry details, texture quality, and free-view
performance. Notably, HumanGen can also incorporate various off-the-shelf 2D
latent editing methods, seamlessly lifting them into 3D.
