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Recent years have witnessed the tremendous progress of 3D GANs for generatingview-consistent radiance fields with photo-realism. Yet, high-qualitygeneration of human radiance fields remains challenging, partially due to thelimited 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 the3D human generation with various priors from the 2D generator and 3Dreconstructor of humans through the design of "anchor image". We introduce ahybrid feature representation using the anchor image to bridge the latent spaceof HumanGen with the existing 2D generator. We then adopt a pronged design todisentangle the generation of geometry and appearance. With the aid of theanchor image, we adapt a 3D reconstructor for fine-grained details synthesisand propose a two-stage blending scheme to boost appearance generation.Extensive experiments demonstrate our effectiveness for state-of-the-art 3Dhuman generation regarding geometry details, texture quality, and free-viewperformance. Notably, HumanGen can also incorporate various off-the-shelf 2Dlatent editing methods, seamlessly lifting them into 3D.

HumanGen: Generating Human Radiance Fields with Explicit Priors