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