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Generative Models
ServiceNow Research
Generative Models
FigGen: Text to Scientific Figure Generation
The generative modeling landscape has experienced tremendous growth in recent years, particularly in generating natural images and art. …
Juan A. Rodriguez
,
Issam H. Laradji
,
Marco Pedersoli
,
Pau Rodriguez
International Conference of Learning Representations (ICLR), 2023.
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OCR-VQGAN: Taming Text-within-Image Generation
Synthetic image generation has recently experienced significant improvements in domains such as natural image or art generation. …
Juan A. Rodriguez
,
David Vazquez
,
Marco Pedersoli
,
Issam H. Laradji
,
Pau Rodriguez
Winter Conference on Applications of Computer Vision (WACV), 2023.
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Attention-based Neural Cellular Automata
Recent extensions of Cellular Automata (CA) have incorporated key ideas from modern deep learning, dramatically extending their …
Mattie Tesfaldet
,
Derek Nowrouzezahrai
,
Christopher Pal
Conference on Neural Information Processing Systems (NeurIPS), 2022.
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Exploring the Design Space of Generative Diffusion Processes for Sparse Graphs
We extend score-based generative diffusion processes (GDPs) to sparse graphs and other inherently discrete data, with a focus on …
Pierre-André Noël
,
Pau Rodriguez
Workshop at the Neural Information Processing Systems (NeurIPS), 2022.
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Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation
Video prediction is a challenging task. The quality of video frames from current state-of-the-art (SOTA) generative models tends to be …
Vikram Voleti
,
Alexia Jolicoeur-Martineau
,
Christopher Pal
Conference on Neural Information Processing Systems (NeurIPS), 2022.
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Fashion-Gen: The Generative Fashion Dataset and Challenge
We introduce a new dataset of 293,008 high definition (1360 x 1360 pixels) fashion images paired with item descriptions provided by …
Negar Rostamzadeh
,
Seyedarian (Arian) Hosseini
,
Thomas Boquet
,
Wojciech Stokowiec
,
Ying Zhang
,
Christian Jauvin
,
Christopher Pal
Women in Machine Learning (WiML), 2018.
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