no code implementations • 7 Mar 2024 • Dharma KC, Clayton T. Morrison
Learning to generate textures for a novel 3D mesh given a collection of 3D meshes and real-world 2D images is an important problem with applications in various domains such as 3D simulation, augmented and virtual reality, gaming, architecture, and design.
no code implementations • 22 May 2023 • Dharma KC, Clayton T. Morrison
In the literature, a variety of different input scenarios have been explored, including generating code based on natural language description, lower-level representations such as binary or assembly (neural decompilation), partial representations of source code (code completion and repair), and source code in another language (code translation).
no code implementations • 8 Oct 2022 • Dharma KC, Venkata Ravi Kiran Dayana, Meng-Lin Wu, Venkateswara Rao Cherukuri, Hau Hwang
We also present a method that uses a transformer encoder layer for multi-resolution feature fusion.
1 code implementation • 17 Jun 2022 • Dharma KC, Clayton T. Morrison, Bradley Walls
Novel photo-realistic texture synthesis is an important task for generating novel scenes, including asset generation for 3D simulations.
no code implementations • 28 Oct 2021 • Dharma KC, Chicheng Zhang, Chris Gniady, Parth Sandeep Agarwal, Sushil Sharma
Heart disease is the number one killer, and ECGs can assist in the early diagnosis and prevention of deadly outcomes.
1 code implementation • 15 Aug 2021 • Dharma KC, Chicheng Zhang
We study utilizing auxiliary information in training data to improve the trustworthiness of machine learning models.