37 citations · 53 across the 5 of their papers we have counts for
5 papers
Advances in Neural 3D Mesh Texturing: A Survey
Sai Raj Kishore Perla, Hao Zhang, Ali Mahdavi-Amiri
Texturing 3D meshes plays a vital role in determining the visual realism of digital objects and scenes. Although recent generative 3D approaches based on Neural Radiance Fields and…
Functionalization via Structure Completion and Motion Rectification
Mingrui Zhao, Sai Raj Kishore Perla, Kai Wang +8
Acquisition and creation of 3D assets have been largely view- or appearance-driven. As a result, existing digital 3D models often lack the requisite structural components to functi…
ASIA: Adaptive 3D Segmentation using Few Image Annotations
Sai Raj Kishore Perla, Aditya Vora, Sauradip Nag +2
We introduce ASIA (Adaptive 3D Segmentation using few Image Annotations), a novel framework that enables segmentation of possibly non-semantic and non-text-describable "parts" in 3…
EASI-Tex: Edge-Aware Mesh Texturing from Single Image
Sai Raj Kishore Perla, Yizhi Wang, Ali Mahdavi-Amiri +1
We present a novel approach for single-image mesh texturing, which employs a diffusion model with judicious conditioning to seamlessly transfer an object's texture from a single RG…
Flatten-T Swish: a thresholded ReLU-Swish-like activation function for deep learning
Hock Hung Chieng, Noorhaniza Wahid, Pauline Ong +1
Activation functions are essential for deep learning methods to learn and perform complex tasks such as image classification. Rectified Linear Unit (ReLU) has been widely used and…