1 citations · 2 across the 5 of their papers we have counts for
5 papers
Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation
Rohan Chacko, Nicolai Haeni, Eldar Khaliullin +2
We introduce Lifting By Gaussians (LBG), a novel approach for open-world instance segmentation of 3D Gaussian Splatted Radiance Fields (3DGS). Recently, 3DGS Fields have emerged as…
GETAvatar: Generative Textured Meshes for Animatable Human Avatars
Xuanmeng Zhang, Jianfeng Zhang, Rohan Chacko +4
We study the problem of 3D-aware full-body human generation, aiming at creating animatable human avatars with high-quality textures and geometries. Generally, two challenges remain…
SHARP: Shape-Aware Reconstruction of People in Loose Clothing
Sai Sagar Jinka, Astitva Srivastava, Chandradeep Pokhariya +2
Recent advancements in deep learning have enabled 3D human body reconstruction from a monocular image, which has broad applications in multiple domains. In this paper, we propose S…
Reconstruction of People in Loose Clothing
Sai Sagar Jinka, Rohan Chacko, Astitva Srivastava +2
3D human body reconstruction from monocular images is an interesting and ill-posed problem in computer vision with wider applications in multiple domains. In this paper, we propose…
PeeledHuman: Robust Shape Representation for Textured 3D Human Body Reconstruction
Sai Sagar Jinka, Rohan Chacko, Avinash Sharma +1
We introduce PeeledHuman - a novel shape representation of the human body that is robust to self-occlusions. PeeledHuman encodes the human body as a set of Peeled Depth and RGB map…