3d reconstruction

CvxNet: Learnable Convex Decomposition CVPR 2020 Deep 3D Capture: Geometry and Reflectance From Sparse Multi-View Images CVPR 2020 Deep 3D Pan via local adaptive "t-shaped" convolutions with global and local adaptive dilations ICLR 2020 Deep 3D Portrait From a Single Image CVPR 2020 DeepFaceFlow: In-the-Wild Dense 3D Facial Motion Estimation CVPR 2020 Deep Facial Non-Rigid Multi-View Stereo CVPR 2020 Deep Implicit Volume Compression CVPR 2020 Deep Stereo Using Adaptive Thin Volume Representation With Uncertainty Awareness CVPR 2020 Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision CVPR 2020 DIST: Rendering Deep Implicit Signed Distance Function With Differentiable Sphere Tracing CVPR 2020 Diverse Plausible Shape Completions from Ambiguous Depth Images CoRL 2020 Dynamic Fluid Surface Reconstruction Using Deep Neural Network CVPR 2020 Epipolar Transformers CVPR 2020 Equivariant Neural Rendering ICML 2020 Estimate 3D Camera Pose from 2D Pedestrian Trajectories WACV 2020 Extremely Dense Point Correspondences Using a Learned Feature Descriptor CVPR 2020 FlowNet3D++: Geometric Losses For Deep Scene Flow Estimation WACV 2020 FroDO: From Detections to 3D Objects CVPR 2020 From Image Collections to Point Clouds With Self-Supervised Shape and Pose Networks CVPR 2020 Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction CVPR 2020 Fully Convolutional Mesh Autoencoder using Efficient Spatially Varying Kernels NeurIPS 2020 Generative View Synthesis: From Single-view Semantics to Novel-view Images NeurIPS 2020 Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction NeurIPS 2020 GHUM & GHUML: Generative 3D Human Shape and Articulated Pose Models CVPR 2020 GPS-Net: Graph-based Photometric Stereo Network NeurIPS 2020