Facial De-occlusion Network for Virtual Telepresence Systems
원문 초록
To see what is not in the image is one of the broader missions of computer vision. Technology to inpaint images has made significant progress with the coming of deep learning. This paper proposes a method to tackle occlusion specific to human faces. Virtual presence is a promising direction in communication and recreation for the future. However, Virtual Reality (VR) headsets occlude a significant portion of the face, hindering the photo-realistic appearance of the face in the virtual world. State-of-the-art image inpainting methods for de-occluding the eye region does not give usable results. To this end, we propose a working solution that gives usable results to tackle this problem enabling the use of the real-time photo-realistic de-occluded face of the user in VR settings.
함께 살펴볼 논문
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Leveraging Depth Maps and Attention Mechanisms for Enhanced Image Inpainting
Visibility-Uncertainty-guided 3D Gaussian Inpainting via Scene Conceptional Learning
Autoregressive Image Generation with Randomized Parallel Decoding
VideoPainter: Any-length Video Inpainting and Editing with Plug-and-Play Context Control
Tackling Few-Shot Segmentation in Remote Sensing via Inpainting Diffusion Model
토론
이 논문과 연결된 포럼 글이 아직 없습니다.