Abstract Keywords: scene representation, view synthesis, image-based rendering, volume rendering, 3D deep learning We present a method that achieves state-of-the-art results for synthesizing novel views of complex scenes by optimizing an underlying continuous volumetric scene function using a sparse set of input views. Our algorithm represents a scene using a fully-connected (non- convolutional)..

Deep L-layer Neural Network input dim 만큼 input 노드의 수 1개의 input image에 대해, feature들의 수로 해석할 수 있다 Forward Propagation in a Deep Network 모든 training example m개를 한 번에 horizontally 표현하는 것 -> vector version Getting your Matrix Dimensions Right Why Deep Representations? input layer에 가까운 노드들은 엣지 detect (가로, 세로 방향의 low level features) 가운데 - 눈, 코 detect 마지막 - 얼굴 인식 (high level features) 오디오 인식의 경우에도, low ..

Neural Networks Overview Neural Network Representation Computing a Neural Network's Output Vectorizing Across Multiple Examples