13 citations · 32 across the 14 of their papers we have counts for
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cs.CV2021★ 13 cited
CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields
Can Wang, Menglei Chai, Mingming He +2
We present CLIP-NeRF, a multi-modal 3D object manipulation method for neural radiance fields (NeRF). By leveraging the joint language-image embedding space of the recent Contrastiv…
cs.CV2021★ 1 cited
Deep Portrait Lighting Enhancement with 3D Guidance
Fangzhou Han, Can Wang, Hao Du +1
Despite recent breakthroughs in deep learning methods for image lighting enhancement, they are inferior when applied to portraits because 3D facial information is ignored in their…
cs.CV2021★ 2 cited
Cross-Domain and Disentangled Face Manipulation with 3D Guidance
Can Wang, Menglei Chai, Mingming He +2
Face image manipulation via three-dimensional guidance has been widely applied in various interactive scenarios due to its semantically-meaningful understanding and user-friendly c…