Face inpaintingFace alignmentData augmentationIt is challenging to inpaint face images in the wild, due to the large variation of appearance, such as different poses, expressions and occlusions. A good inpainting algorithm should guarantee the......
03/21 - General Assembly adopts landmark resolution on artificial intelligence (News), 03/21 - Gaussian Frosting: Editable Complex Radiance Fields with Real-Time Rendering (❌), (📖), (📎), (📙), (🏠), (HTML), (SL), (SP), (GS), (SS), (✳️) 03/21 - Explorative ...
(2007). Introduction to a large-scale general purpose ground truth database: methodology, annotation tool and benchmarks. In EMMCVPR’07: Proceedings of the 6th international conference on energy minimization methods in computer vision and pattern recognition. Yeh, Y.-T., Yang, L., Watson, M...
Landmark loss is formulated by: Llm = 1 68 68 ∥Lˆ(i) − Llm(i)∥2, i=1 (13) where Lˆ and Llm denote the 3D landmarks predicted from Iˆ and Ihq, respectively. Predicting an accurate 3D reconstruction from a LQ im- age is non-trivial....
Exemplar guided face image super-resolution without facial landmarks. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, p. 1814–1823. 2019. Zhang Z, Wang Z, Lin Z, Qi H. Image super-resolution by neural texture transfer. In: Proceedings of ...
231 GP-GAN: Gender Preserving GAN for Synthesizing Faces from Landmarks [pdf] 2017 3 232 How to Fool Radiologists with Generative Adversarial Networks? A Visual Turing Test for Lung Cancer Diagnosis [pdf] 2017 3 233 Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adv...
This tech- nique has inspired follow-up works which leverage deep generative networks for eye inpainting [17], semantic fea- ture interpolation [63] and face completion [70]. The ad- vent of generative adversarial networks (GANs) [25] has inspired a large...
We propose an improvement method in facial inpainting using Generative Adversarial Network (GAN) with additional loss using pre-trained network VGG-Net and face landmark. The feature reconstruction loss will help to preserve deep-feature on an image, while the landmark will in...
World model as a graph: learning latent landmarks for planning. Zhang, Yang, Stadie https://arxiv.org/pdf/2011.12491.pdf A statistical evaluation of machine learning algorithms for applied data analysis. Beaulac http://probability.ca/jeff/ftpdir/cedricthesis.pdf Unsupervised learning of disentangle...
✔️ [Context Encoders: Feature Learning by Inpainting] [Paper][Code] ✔️ [Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks] [Paper] ✔️ [Generative face completion] [Paper][code](CVPR2017) ✔️ [Globally and Locally Consistent Image Completion] [Main...