orthoplanes.github.io - OP3D: Orthoplanes Representation for Better 3D-Awareness of GANs

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Description: OrthoPlanes: A Novel Representation for Better 3D-Awareness of GANs

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Example domain paragraphs

We present a novel method for generating realistic and view-consistent images with fine geometry from 2D image collections. Our method proposes a hybrid explicit-implicit representation called OrthoPlanes, which encodes fine-grained 3D information in feature maps that can be efficiently generated by modifying 2D StyleGANs. Compared to previous representations, our method has better scalability and expressiveness with clear and explicit information. As a result, our method can handle more challenging view-an

EG3D proposes tri-plane representation for 3D-aware image synthesis.

StyleGAN-Human collects and annotates a large-scale human image dataset for StyleGAN-based human generation.

Links to orthoplanes.github.io (1)

• yzhq97.github.io Zhuoqian Yang