April 23, 2024, 4:46 a.m. | Zichen Tang, Hongyu Yang

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.13711v1 Announce Type: new
Abstract: Recent advances in generative visual models and neural radiance fields have greatly boosted 3D-aware image synthesis and stylization tasks. However, previous NeRF-based work is limited to single scene stylization, training a model to generate 3D-aware cartoon faces with arbitrary styles remains unsolved. We propose ArtNeRF, a novel face stylization framework derived from 3D-aware GAN to tackle this problem. In this framework, we utilize an expressive generator to synthesize stylized faces and a triple-branch discriminator module …

abstract advances arxiv cartoon cs.cv face fields generate generative however image nerf neural radiance fields synthesis tasks training type unsolved visual work

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