Search Results for author: P. J. Narayanan

Found 15 papers, 5 papers with code

SHARP: Shape-Aware Reconstruction of People in Loose Clothing

no code implementations24 May 2022 Sai Sagar Jinka, Astitva Srivastava, Chandradeep Pokhariya, Avinash Sharma, P. J. Narayanan

The parametric body prior enforces geometrical consistency on the body shape and pose, while the non-parametric representation models loose clothing and handle self-occlusions as well.

Appearance Editing with Free-viewpoint Neural Rendering

1 code implementation14 Oct 2021 Pulkit Gera, Aakash KT, Dhawal Sirikonda, Parikshit Sakurikar, P. J. Narayanan

We present a neural rendering framework for simultaneous view synthesis and appearance editing of a scene from multi-view images captured under known environment illumination.

Disentanglement Neural Rendering

Reconstruction of People in Loose Clothing

no code implementations9 Jun 2021 Sai Sagar Jinka, Rohan Chacko, Astitva Srivastava, Avinash Sharma, P. J. Narayanan

3D human body reconstruction from monocular images is an interesting and ill-posed problem in computer vision with wider applications in multiple domains.

Computer Vision

Geometric Scene Refocusing

no code implementations20 Dec 2020 Parikshit Sakurikar, P. J. Narayanan

We present a comprehensive algorithm for post-capture refocusing in a geometrically correct manner.

PeeledHuman: Robust Shape Representation for Textured 3D Human Body Reconstruction

1 code implementation16 Feb 2020 Sai Sagar Jinka, Rohan Chacko, Avinash Sharma, P. J. Narayanan

We introduce PeeledHuman - a novel shape representation of the human body that is robust to self-occlusions.

3D Reconstruction

A Flexible Neural Renderer for Material Visualization

1 code implementation26 Aug 2019 Aakash KT, Parikshit Sakurikar, Saurabh Saini, P. J. Narayanan

Photo realism in computer generated imagery is crucially dependent on how well an artist is able to recreate real-world materials in the scene.

Graphics

Nose, eyes and ears: Head pose estimation by locating facial keypoints

1 code implementation3 Dec 2018 Aryaman Gupta, Kalpit Thakkar, Vineet Gandhi, P. J. Narayanan

Monocular head pose estimation requires learning a model that computes the intrinsic Euler angles for pose (yaw, pitch, roll) from an input image of human face.

Head Pose Estimation

Part-based Graph Convolutional Network for Action Recognition

1 code implementation13 Sep 2018 Kalpit Thakkar, P. J. Narayanan

We divide the skeleton graph into four subgraphs with joints shared across them and learn a recognition model using a part-based graph convolutional network.

Action Recognition Skeleton Based Action Recognition

View-graph Selection Framework for SfM

no code implementations ECCV 2018 Rajvi Shah, Visesh Chari, P. J. Narayanan

Accuracy and efficiency of large-scale SfM is crucially dependent on the input view-graph.

Model Selection

Composite Focus Measure for High Quality Depth Maps

no code implementations ICCV 2017 Parikshit Sakurikar, P. J. Narayanan

Depth from focus is a highly accessible method to estimate the 3D structure of everyday scenes.

Depth Estimation

A Unified View-Graph Selection Framework for Structure from Motion

no code implementations3 Aug 2017 Rajvi Shah, Visesh Chari, P. J. Narayanan

Accuracy and efficiency of large-scale SfM is crucially dependent on the input view-graph.

Multistage SFM: A Coarse-to-Fine Approach for 3D Reconstruction

no code implementations19 Dec 2015 Rajvi Shah, Aditya Deshpande, P. J. Narayanan

We present a multistage approach for SFM reconstruction of a single component that breaks the sequential nature of the incremental SFM methods.

3D Reconstruction

Cannot find the paper you are looking for? You can Submit a new open access paper.