Jianfei Guo
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Jianfei Guo

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2020

Learning Canonical Representations for Scene Graph to Image Generation
Published on 2020-12-30
GRF: LEARNING A GENERAL RADIANCE FIELD FOR 3D SCENE REPRESENTATION AND RENDERING
Published on 2020-12-30
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis
Published on 2020-12-30
GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields
Published on 2020-12-30
Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models
Published on 2020-12-30
End-to-End Optimization of Scene Layout
Published on 2020-12-30
DSM-Net: Disentangled Structured Mesh Net for Controllable Generation of Fine Geometry
Published on 2020-12-30
DeRF: Decomposed Radiance Fields
Published on 2020-12-30
Deformable Neural Radiance Fields
Published on 2020-12-30
Deep Convolutional Priors for Indoor Scene Synthesis
Published on 2020-12-30
D-NeRF: Neural Radiance Fields for Dynamic Scenes
Published on 2020-12-30
CvxNet: Learnable Convex Decomposition
Published on 2020-12-30
Compositionally Generalizable 3D Structure Prediction
Published on 2020-12-30
Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction
Published on 2020-12-30
Canonical Capsules: Unsupervised Capsules in Canonical Pose
Published on 2020-12-30
BAE-NET: Branched Autoencoder for Shape Co-Segmentation
Published on 2020-12-30
AutoInt: Automatic Integration for Fast Neural Volume Rendering
Published on 2020-12-30
part/structure-aware shape representation
Published on 2020-12-29
BSP-Net: Generating Compact Meshes via Binary Space Partitioning
Published on 2020-12-29
Implicit Geometric Regularization for Learning Shapes
Published on 2020-12-28