research
∙
05/08/2023
RelPose++: Recovering 6D Poses from Sparse-view Observations
We address the task of estimating 6D camera poses from sparse-view image...
share
research
∙
04/27/2023
Analogy-Forming Transformers for Few-Shot 3D Parsing
We present Analogical Networks, a model that encodes domain knowledge ex...
research
∙
04/12/2023
Mesh2Tex: Generating Mesh Textures from Image Queries
Remarkable advances have been achieved recently in learning neural repre...
research
∙
01/11/2023
Geometry-biased Transformers for Novel View Synthesis
We tackle the task of synthesizing novel views of an object given a few ...
research
∙
12/01/2022
SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction
We propose SparseFusion, a sparse view 3D reconstruction approach that u...
research
∙
10/24/2022
Monocular Dynamic View Synthesis: A Reality Check
We study the recent progress on dynamic view synthesis (DVS) from monocu...
research
∙
08/11/2022
RelPose: Predicting Probabilistic Relative Rotation for Single Objects in the Wild
We describe a data-driven method for inferring the camera viewpoints giv...
research
∙
03/17/2022
AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation
Powerful priors allow us to perform inference with insufficient informat...
research
∙
10/14/2021
NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild
Recent history has seen a tremendous growth of work exploring implicit r...
research
∙
07/20/2020
Object-Centric Multi-View Aggregation
We present an approach for aggregating a sparse set of views of an objec...
research
∙
10/08/2019
Object-centric Forward Modeling for Model Predictive Control
We present an approach to learn an object-centric forward model, and sho...
research
∙
09/30/2019
Efficient Bimanual Manipulation Using Learned Task Schemas
We address the problem of effectively composing skills to solve sparse-r...
research
∙
08/22/2019
Compositional Video Prediction
We present an approach for pixel-level future prediction given an input ...
research
∙
07/23/2019
Canonical Surface Mapping via Geometric Cycle Consistency
We explore the task of Canonical Surface Mapping (CSM). Specifically, gi...
research
∙
06/06/2019
3D-RelNet: Joint Object and Relational Network for 3D Prediction
We propose an approach to predict the 3D shape and pose for the objects ...
research
∙
05/07/2019
Learning Unsupervised Multi-View Stereopsis via Robust Photometric Consistency
We present a learning based approach for multi-view stereopsis (MVS). Wh...
research
∙
07/26/2018
Layer-structured 3D Scene Inference via View Synthesis
We present an approach to infer a layer-structured 3D representation of ...
research
∙
03/20/2018
Learning Category-Specific Mesh Reconstruction from Image Collections
We present a learning framework for recovering the 3D shape, camera, and...
research
∙
01/11/2018
Multi-view Consistency as Supervisory Signal for Learning Shape and Pose Prediction
We present a framework for learning single-view shape and pose predictio...
research
∙
12/05/2017
Factoring Shape, Pose, and Layout from the 2D Image of a 3D Scene
The goal of this paper is to take a single 2D image of a scene and recov...
research
∙
10/17/2017
Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55
We introduce a large-scale 3D shape understanding benchmark using data a...
research
∙
04/03/2017
Hierarchical Surface Prediction for 3D Object Reconstruction
Recently, Convolutional Neural Networks have shown promising results for...
research
∙
12/01/2016
Learning Shape Abstractions by Assembling Volumetric Primitives
We present a learning framework for abstracting complex shapes by learni...
research
∙
05/01/2015
Pose Induction for Novel Object Categories
We address the task of predicting pose for objects of unannotated object...
research
∙
11/22/2014
Virtual View Networks for Object Reconstruction
All that structure from motion algorithms "see" are sets of 2D points. W...
research
∙
11/22/2014
Category-Specific Object Reconstruction from a Single Image
Object reconstruction from a single image -- in the wild -- is a problem...
research
∙
11/22/2014