Search Results for author: Anushrut Jignasu

Found 5 papers, 2 papers with code

Evaluating NeRFs for 3D Plant Geometry Reconstruction in Field Conditions

no code implementations15 Feb 2024 Muhammad Arbab Arshad, Talukder Jubery, James Afful, Anushrut Jignasu, Aditya Balu, Baskar Ganapathysubramanian, Soumik Sarkar, Adarsh Krishnamurthy

We evaluate different Neural Radiance Fields (NeRFs) techniques for reconstructing (3D) plants in varied environments, from indoor settings to outdoor fields.

3D Reconstruction

Latent Diffusion Models for Structural Component Design

no code implementations20 Sep 2023 Ethan Herron, Jaydeep Rade, Anushrut Jignasu, Baskar Ganapathysubramanian, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy

Specifically, we employ a Latent Diffusion model to generate potential designs of a component that can satisfy a set of problem-specific loading conditions.

Image Generation

ZeroForge: Feedforward Text-to-Shape Without 3D Supervision

1 code implementation14 Jun 2023 Kelly O. Marshall, Minh Pham, Ameya Joshi, Anushrut Jignasu, Aditya Balu, Adarsh Krishnamurthy, Chinmay Hegde

Current state-of-the-art methods for text-to-shape generation either require supervised training using a labeled dataset of pre-defined 3D shapes, or perform expensive inference-time optimization of implicit neural representations.

Text-to-Shape Generation

Neural PDE Solvers for Irregular Domains

no code implementations7 Nov 2022 Biswajit Khara, Ethan Herron, Zhanhong Jiang, Aditya Balu, Chih-Hsuan Yang, Kumar Saurabh, Anushrut Jignasu, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian

Neural network-based approaches for solving partial differential equations (PDEs) have recently received special attention.

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