Home | 3DVision@CVIT

This is a research group led by Dr Avinash Sharma, affiliated with the Centre for Visual Information Technology (CVIT), IIIT Hyderabad. We primarily work on the computer vision and machine learning problems with a focus on 3D scene understanding and reconstruction. Specifically, we deal with problems where human body is reconstructed from 2D images and analysed in 3D, registration of point clouds of indoor scenes captured from commodity sensors as well as large outdoor scenes captured from LIDAR scanners.

We are looking for motivated PhD students and long-term RAs/interns with interest in 3D computer vision to join us. Please check here for more details.

Research Interests

3D reconstruction of humans
3D reconstruction of hands
Terrain Generation
6-DOF pose estimation of rigid objects
Brain Graph Analytics
GraphSLAM in robotics

Datasets

	3DHumans: High-Fidelity 3D Scans of People in Diverse Clothing Styles [Download]
	4DHumans: Temporally Consistent Dynamic Scans of Humans in Motion [Download]

Publications

	SHARP: Shape-Aware Reconstruction of People in Loose Clothing Sai Sagar Jinka, Astitva Srivastava, Chandradeep Pokhariya, Avinash Sharma and P.J. Narayanan IJCV 2022 [Project Page] [Paper] [Dataset]
	REF-SHARP: REFined face and geometry reconstruction of people in loose clothing Snehith Goud Routhu, Sai Sagar Jinka and Avinash Sharma ICVGIP 2022 [Paper]
	Adaptive & Multi-Resolution Procedural Infinite Terrain Generation with Diffusion Models and Perlin Noise Aryamaan Jain, Avinash Sharma and K S Rajan ICVGIP 2022 [Project Page] [Code] [Paper] [Presentation]
	Discretization-Agnostic Deep Self-Supervised 3D Surface Parameterization Chandradeep Pokhariya, Shanthika Naik, Astitva Srivastava and Avinash Sharma ACM SIGGRAPH Asia Technical Communications 2022 [Project Page] [Paper] [Supplementary] [Presentation]
	Supervision by Landmarks: An Enhanced Facial De-occlusion Network for VR-based Applications Surabhi Gupta, Sai Sagar Jinka, Avinash Sharma and Anoop Namboodiri ECCV Workshop 2022 [Paper]
	Deep Self-supervised UV Parameterization for Template-free Textured 3D Digitization of Garments Shanthika Naik, Chandradeep Pokhariya, Astitva Srivastava and Avinash Sharma Preprint 2022 [Paper]
	xCloth: Extracting Template-free Textured 3D Clothes from a Monocular Image Astitva Srivastava, Chandradeep Pokhariya, Sai Sagar Jinka and Avinash Sharma ACM Multimedia 2022 [Paper]
	Robust 3D Garment Digitization from Monocular 2D Images for 3D Virtual Try-On Systems Sahib Majithia, Sandeep N. Parameswaran, Sadbhavana Babar, Vikram Garg, Astitva Srivastava and Avinash Sharma WACV 2021 [Paper]
	Automated tree generation using grammar & particle system Aryamaan Jain, Jyoti Sunkara, Ishaan Shah, Avinash Sharma and K S Rajan ICVGIP 2021 [Project Page] [Code] [Paper] [Presentation]
	Coarse-to-fine 3D clothed human reconstruction using peeled semantic segmentation context Snehith Goud Routhu, Sai Sagar Jinka and Avinash Sharma ICVGIP 2021 [Project Page] [Paper]
	Attention based Occlusion Removal for Hybrid Telepresence Systems Surabhi Gupta, Ashwath Shetty, Avinash Sharma CRV 2022 [Paper]
	A-GHN: Attention-based Fusion of Multiple GraphHeat Networks for Structural to Functional Brain Mapping Subba Reddy Oota, Archi Yadav, Arpita Dash, Surampudi Bapi Raju, Avinash Sharma bioRxiv 2021 [Paper]
	GlocalNet: Class-aware Long-term Human Motion Synthesis Neeraj Battan, Yudhik Agrawal, Sai Soorya Rao, Aman Goel, Avinash Sharma WACV 2021 [Paper]
	PeeledHuman: Robust Shape Representation for Textured 3D Human Body Reconstruction Sai Sagar Jinka, Rohan Chacko, Avinash Sharma and P. J. Narayanan 3DV 2020 [Project Page] [Code] [Paper] [Teaser Video]
	AFN: Attentional Feedback Network based 3D Terrain Super-Resolution Ashish Kubade, Diptiben Patel, Avinash Sharma, and K. S. Rajan ACCV 2020 [Code] [Paper]
	Feedback Neural Network based Super-resolution of DEM for generating high fidelity features Ashish Kubade, Avinash Sharma, K S Rajan IGARSS 2020 [Paper]
	Action Quality Assessment using Siamese Network-Based Deep Metric Learning Hiteshi Jain, Gaurav Harit, Avinash Sharma ITCSVT 2020 [Paper]
	DeepHuMS: Deep Human Motion Signature for 3D Skeletal Sequences Neeraj Battan, Abbhinav Venkat and Avinash Sharma ACPR 2019 [Project Page] [Paper] [Teaser Video]
	N2NSkip: Learning Highly Sparse Networks using neuron-to-neuron skip connections Arvind Subramaniam, Avinash Sharma BMVC 2020 [Project Page] [Code] [Paper]
	HumanMeshNet: Polygonal Mesh Recovery of Humans Abbhinav Venkat, Chaitanya Patel, Yudhik Agrawal and Avinash Sharma ICCV Workshops 2019 [Project Page] [Code] [Paper] [Teaser Video]
	Resting state dynamics meets anatomical structure: Temporal multiple kernel learning (tMKL) model Sriniwas Govinda Surampudi, Joyneel Misra, Gustavo Deco, Raju Surampudi Bapi, Avinash Sharma, Dipanjan Roy NeuroImage 2019 [Code] [Paper]
	Non-rigid Registration using Spectral Graph Wavelet Features Alphin J. Thottupattu, Shivin Yadav and Avinash Sharma ICVGIP 2019 [Paper]
	SplineNet: B-spline neural network for efficient classification of 3D data Sai Sagar Jinka and Avinash Sharma ICVGIP 2018 [Project Page] [Paper]
	Towards View-Invariant Intersection Recognition from Videos using Deep Network Ensembles Abhijeet Kumar, Gunshi Gupta, Avinash Sharma and K. Madhav Krishna IROS 2018 [Paper]
	Deep Textured 3D Reconstruction of Human Bodies Abbhinav Venkat, Sai Sagar Jinka and Avinash Sharma BMVC 2018 [Project Page] [Paper]
	Fast multi model motion segmentation on road scenes US Mehtab Sandhu, Nazrul Haque, Avinash Sharma, K. Madhav Krishna, Shanti Medasani IV 2018 [Paper]
	MKL Based Local Label Diffusion for Automatic Image Annotation Abhijeet Kumar, Anjali Shenoy and Avinash Sharma NCVPRIPG 2018 [Project Page] [Paper]
	Multiple Kernel Learning Model for Relating Structural and Functional Connectivity in the Brain Sriniwas Govinda Surampudi, Shruti Naik, Raju Bapi Surampudi, Viktor K Jirsa, Avinash Sharma, Dipanjan Roy Scientific reports 2018 [Paper]
	Multi-trajectory pose correspondences using scale-dependent topological analysis of pose-graphs Sayantan Datta, Avinash Sharma and K. Madhava Krishna IROS 2017 [Paper]
	SLAM Pose-Graph Robustification Via Multi-Scale Heat-Kernel Analysis Sayantan Datta, Siddharth Tourani, Avinash Sharma and K. Madhava Krishna CDC 2016 [Paper]
	Combining Multiscale Diffusion Kernels for Learning the Structural and Functional Brain Connectivity S. G. Surampudi, S. Naik, A. Sharma, R. B. Surampudi, D. Roy NIPSW 2016 [Paper]
	Image Annotation using Multi-scale Hypergraph Heat Diffusion Framework Venkatesh N. Murthy, Avinash Sharma, Visesh Chari, and R. Manmatha ICMR 2016 [Paper]