Text as Image.

By Michael Woal, M. L. Corn. 1987

Subfields: Computer Vision and Pattern Recognition, Natural Language Generation

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Dacheng Tao
2. Adam Polyak
3. Luc Van Gool
4. Xiaogang Wang
5. Devi Parikh
6. Trevor Darrell
7. Bernt Schiele
8. Yi Yang

In Natural Language Generation

1. Devi Parikh
2. Yaniv Taigman
3. Adam Polyak

Citations in the corpus

• Building Normalizing Flows with Stochastic Interpolants (2022, unknown): “…promise to model high dimensional distributions (Rombach et al., 2022; Hoogeboom et al., 2022), particularly in the case of text-to-image generation (Ramesh et al., 2022; Saharia et al., 2022), there is an absence of theoretical motivation for the SDE-flow framework and the complexity it induces.”
• High-resolution image reconstruction with latent diffusion models from human brain activity (2023, background): “DMs have achieved state-of-the-art performance in several tasks involving conditional image generation [4,39,49], image super resolution [40], image colorization [38], and other related tasks [6, 16, 33, 41].”
• Make-A-Video: Text-to-Video Generation without Text-Video Data (2022, methodology): “In addition, we also used the DrawBench prompts from Imagen (Saharia et al., 2022) for human evaluation.”