This paper addresses the task of 3D clothed human generation from textural
descriptions. Previous works usually encode the human body and clothes as a
holistic model and generate the whole model in a single-stage optimization,
which makes them struggle for clothing editing and meanwhile lose fine-grained
control over the whole generation process. To solve this, we propose a
layer-wise clothed human representation combined with a progressive
optimization strategy, which produces clothing-disentangled 3D human models
while providing control capacity for the generation process. The basic idea is
progressively generating a minimal-clothed human body and layer-wise clothes.
During clothing generation, a novel stratified compositional rendering method
is proposed to fuse multi-layer human models, and a new loss function is
utilized to help decouple the clothing model from the human body. The proposed
method achieves high-quality disentanglement, which thereby provides an
effective way for 3D garment generation. Extensive experiments demonstrate that
our approach achieves state-of-the-art 3D clothed human generation while also
supporting cloth editing applications such as virtual try-on. Project page:
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本文通过逐层式的人体服装表示和渐进优化策略，从文本描述生成 3D 穿衣人模型，以实现高质量的分离效果，并支持虚拟试穿等应用。