no code implementations • 15 Dec 2023 • Purvi Goel, Kuan-Chieh Wang, C. Karen Liu, Kayvon Fatahalian
Text-to-motion diffusion models can generate realistic animations from text prompts, but do not support fine-grained motion editing controls.
no code implementations • CVPR 2022 • Mikaela Angelina Uy, Yen-Yu Chang, Minhyuk Sung, Purvi Goel, Joseph Lambourne, Tolga Birdal, Leonidas Guibas
We propose Point2Cyl, a supervised network transforming a raw 3D point cloud to a set of extrusion cylinders.
no code implementations • 22 Mar 2021 • Purvi Goel, Li Chen
The memorization effect of deep learning hinders its performance to effectively generalize on test set when learning with noisy labels.
no code implementations • 30 Jan 2021 • Pranali Bora, Tulika Awalgaonkar, Himanshu Palve, Raviraj Joshi, Purvi Goel
We have also compared our image-based hierarchical neural network model with simple image-based CNN architecture and text-based CNN and LSTM models to highlight its novelty and efficiency.
1 code implementation • 6 Dec 2020 • Purvi Goel, Loudon Cohen, James Guesman, Vikas Thamizharasan, James Tompkin, Daniel Ritchie
In this paper, we explore how to use differentiable ray tracing to refine an initial coarse mesh and per-mesh-facet material representation.
no code implementations • 16 Nov 2020 • Li Chen, David Yang, Purvi Goel, Ilknur Kabul
This paper proposes CANC, a Co-teaching Active Noise Cancellation method, applied in spatial computing to address deep learning trained with extreme noisy labels.
no code implementations • 19 Jan 2020 • Ramchandra Joshi, Purvi Goel, Raviraj Joshi
Usage of deep learning in text processing has revolutionized the techniques for text processing and achieved remarkable results.