Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild [解説スライド] NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations Learning Spatial Common Sense with Geometry-Aware Recurrent Networks HoloGAN: Unsupervised Learning of 3D Representations from Natural Images Few-Shot Unsupervised Image-to-Image Translation StyleGAN解説 CVPR2019読み会@DeNA Semi-convolutional Operators for Instance Segmentation “Domain Adaptive Faster R-CNN for Object Detection in theWild (CVPR 2018) 他 
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