Search Results for author:
Found 6 papers, 4 papers with code
An Object is Worth 64x64 Pixels: Generating 3D Object via Image Diffusion
We introduce a new approach for generating realistic 3D models with UV maps through a representation termed "Object Images."
CC3D: Layout-Conditioned Generation of Compositional 3D Scenes
In this work, we introduce CC3D, a conditional generative model that synthesizes complex 3D scenes conditioned on 2D semantic scene layouts, trained using single-view images.
ShapeFormer: Transformer-based Shape Completion via Sparse Representation
We present ShapeFormer, a transformer-based network that produces a distribution of object completions, conditioned on incomplete, and possibly noisy, point clouds.
Capturing, Reconstructing, and Simulating: the UrbanScene3D Dataset
We present UrbanScene3D, a large-scale data platform for research of urban scene perception and reconstruction.
RPM-Net: Recurrent Prediction of Motion and Parts from Point Cloud
We show results of simultaneous motion and part predictions from synthetic and real scans of 3D objects exhibiting a variety of part mobilities, possibly involving multiple movable parts.
Transductive Zero-Shot Learning with Visual Structure Constraint
Based on the observation that visual features of test instances can be separated into different clusters, we propose a new visual structure constraint on class centers for transductive ZSL, to improve the generality of the projection function (i. e. alleviate the above domain shift problem).
