3d representation

K-Planes: Explicit Radiance Fields in Space, Time, and Appearance CVPR 2023 Learning 3D Representations From 2D Pre-Trained Models via Image-to-Point Masked Autoencoders CVPR 2023 Learning Generalizable Manipulation Policies with Object-Centric 3D Representations CoRL 2023 One Is All: Bridging the Gap between Neural Radiance Fields Architectures with Progressive Volume Distillation AAAI 2023 TriVol: Point Cloud Rendering via Triple Volumes CVPR 2023 Gait Recognition in the Wild With Dense 3D Representations and a Benchmark CVPR 2022 Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training NeurIPS 2022 ULNeF: Untangled Layered Neural Fields for Mix-and-Match Virtual Try-On NeurIPS 2022 BARF: Bundle-Adjusting Neural Radiance Fields ICCV 2021 CoCoNets: Continuous Contrastive 3D Scene Representations CVPR 2021 Exploring intermediate representation for monocular vehicle pose estimation CVPR 2021 GRF: Learning a General Radiance Field for 3D Representation and Rendering ICCV 2021 Learning Canonical 3D Object Representation for Fine-Grained Recognition ICCV 2021 Learning Compositional Radiance Fields of Dynamic Human Heads CVPR 2021 Learning Compositional Representation for 4D Captures With Neural ODE CVPR 2021 NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis CVPR 2021 Tracking People with 3D Representations NeurIPS 2021 Unsupervised Learning of Depth and Depth-of-Field Effect From Natural Images With Aperture Rendering Generative Adversarial Networks CVPR 2021 Learning Generative Models of Shape Handles CVPR 2020 Single-View View Synthesis With Multiplane Images CVPR 2020 In the Wild Human Pose Estimation Using Explicit 2D Features and Intermediate 3D Representations CVPR 2019 Visual Object Networks: Image Generation with Disentangled 3D Representations NeurIPS 2018 Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision NeurIPS 2016 3D-Based Reasoning with Blocks, Support, and Stability CVPR 2013