Shubham Tulsiani | DeepAI

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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...

1 Amy Lin, et al. ∙

∙ 04/27/2023

Analogy-Forming Transformers for Few-Shot 3D Parsing

We present Analogical Networks, a model that encodes domain knowledge ex...

0 Nikolaos Gkanatsios, et al. ∙

∙ 04/12/2023

Mesh2Tex: Generating Mesh Textures from Image Queries

Remarkable advances have been achieved recently in learning neural repre...

0 Alexey Bokhovkin, et al. ∙

∙ 01/11/2023

Geometry-biased Transformers for Novel View Synthesis

We tackle the task of synthesizing novel views of an object given a few ...

16 Naveen Venkat, et al. ∙

∙ 12/01/2022

SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction

We propose SparseFusion, a sparse view 3D reconstruction approach that u...

0 Zhizhuo Zhou, et al. ∙

∙ 10/24/2022

Monocular Dynamic View Synthesis: A Reality Check

We study the recent progress on dynamic view synthesis (DVS) from monocu...

0 Hang Gao, et al. ∙

∙ 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...

35 Jason Y. Zhang, et al. ∙

∙ 03/17/2022

AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation

Powerful priors allow us to perform inference with insufficient informat...

8 Paritosh Mittal, et al. ∙

∙ 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...

0 Jason Y. Zhang, et al. ∙

∙ 07/20/2020

Object-Centric Multi-View Aggregation

We present an approach for aggregating a sparse set of views of an objec...

18 Shubham Tulsiani, et al. ∙

∙ 10/08/2019

Object-centric Forward Modeling for Model Predictive Control

We present an approach to learn an object-centric forward model, and sho...

7 Yufei Ye, et al. ∙

∙ 09/30/2019

Efficient Bimanual Manipulation Using Learned Task Schemas

We address the problem of effectively composing skills to solve sparse-r...

0 Rohan Chitnis, et al. ∙

∙ 08/22/2019

Compositional Video Prediction

We present an approach for pixel-level future prediction given an input ...

3 Yufei Ye, et al. ∙

∙ 07/23/2019

Canonical Surface Mapping via Geometric Cycle Consistency

We explore the task of Canonical Surface Mapping (CSM). Specifically, gi...

9 Nilesh Kulkarni, et al. ∙

∙ 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 ...

0 Nilesh Kulkarni, et al. ∙

∙ 05/07/2019

Learning Unsupervised Multi-View Stereopsis via Robust Photometric Consistency

We present a learning based approach for multi-view stereopsis (MVS). Wh...

0 Tejas Khot, et al. ∙

∙ 07/26/2018

Layer-structured 3D Scene Inference via View Synthesis

We present an approach to infer a layer-structured 3D representation of ...

2 Shubham Tulsiani, et al. ∙

∙ 03/20/2018

Learning Category-Specific Mesh Reconstruction from Image Collections

We present a learning framework for recovering the 3D shape, camera, and...

0 Angjoo Kanazawa, et al. ∙

∙ 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...

0 Shubham Tulsiani, et al. ∙

∙ 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...

0 Shubham Tulsiani, et al. ∙

∙ 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...

0 Li Yi, et al. ∙

∙ 04/03/2017

Hierarchical Surface Prediction for 3D Object Reconstruction

Recently, Convolutional Neural Networks have shown promising results for...

0 Christian Häne, et al. ∙

∙ 12/01/2016

Learning Shape Abstractions by Assembling Volumetric Primitives

We present a learning framework for abstracting complex shapes by learni...

0 Shubham Tulsiani, et al. ∙

∙ 05/01/2015

Pose Induction for Novel Object Categories

We address the task of predicting pose for objects of unannotated object...

0 Shubham Tulsiani, et al. ∙

∙ 11/22/2014

Virtual View Networks for Object Reconstruction

All that structure from motion algorithms "see" are sets of 2D points. W...

0 Joao Carreira, et al. ∙

∙ 11/22/2014

Category-Specific Object Reconstruction from a Single Image

Object reconstruction from a single image -- in the wild -- is a problem...

0 Abhishek Kar, et al. ∙

∙ 11/22/2014

Viewpoints and Keypoints

We characterize the problem of pose estimation for rigid objects in term...

0 Shubham Tulsiani, et al. ∙

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