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20182023
most citedLearning Unsupervised Multi-View Stereopsis via Robust Photometric Consistency

65 citations · 148 across the 10 of their papers we have counts for

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5 papers · 1 filter

cs.CV2023

RIC: Rotate-Inpaint-Complete for Generalizable Scene Reconstruction

Isaac Kasahara, Shubham Agrawal, Selim Engin +3

General scene reconstruction refers to the task of estimating the full 3D geometry and texture of a scene containing previously unseen objects. In many practical applications such…

cs.CV2020

High Accuracy Face Geometry Capture using a Smartphone Video

Shubham Agrawal, Anuj Pahuja, Simon Lucey

What's the most accurate 3D model of your face you can obtain while sitting at your desk? We attempt to answer this question in our work. High fidelity face reconstructions have so…

cs.CV2019★ 65 cited

Learning Unsupervised Multi-View Stereopsis via Robust Photometric Consistency

Tejas Khot, Shubham Agrawal, Shubham Tulsiani +3

We present a learning based approach for multi-view stereopsis (MVS). While current deep MVS methods achieve impressive results, they crucially rely on ground-truth 3D training dat…

cs.CV2019★ 29 cited

Interactive Image Generation Using Scene Graphs

Gaurav Mittal, Shubham Agrawal, Anuva Agarwal +2

Recent years have witnessed some exciting developments in the domain of generating images from scene-based text descriptions. These approaches have primarily focused on generating…

cs.CV2018

High Fidelity Semantic Shape Completion for Point Clouds using Latent Optimization

Swaminathan Gurumurthy, Shubham Agrawal

Semantic shape completion is a challenging problem in 3D computer vision where the task is to generate a complete 3D shape using a partial 3D shape as input. We propose a learning-…