Position: Towards Implicit Prompt For Text-To-Image Models

Siren’s song in the ai ocean: A survey on hallucination in large language models

Original

Zhang, Y., Li, Y., Cui, L., Cai, D., Liu, L., Fu, T., Huang, X., Zhao, E., Zhang, Y., Chen, Y., et al · 2000

Earlier work this paper cites.

The caltech-ucsd birds-200-2011 dataset

Wah, C., Branson, S., Welinder, P., Perona, P., and Belongie, S · 2011

Earlier work this paper cites.

Microsoft coco: Common objects in context

Lin, T.-Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P., and Zitnick, C. L · 2014

Earlier work this paper cites.

Deep learning face representation by joint identification-verification

Sun, Y., Chen, Y., Wang, X., and Tang, X · 2014

Earlier work this paper cites.

Deep unsupervised learning using nonequilibrium thermodynamics

Sohl-Dickstein, J., Weiss, E., Maheswaranathan, N., and Ganguli, S · 2015

Earlier work this paper cites.

Improved techniques for training gans

Salimans, T., Goodfellow, I., Zaremba, W., Cheung, V., Radford, A., and Chen, X · 2016

Earlier work this paper cites.

Joint face detection and alignment using multitask cascaded convolutional networks

Zhang, K., Zhang, Z., Li, Z., and Qiao, Y · 2016

Earlier work this paper cites.

Gans trained by a two time-scale update rule converge to a local nash equilibrium

Heusel, M., Ramsauer, H., Unterthiner, T., Nessler, B., and Hochreiter, S · 2017

Earlier work this paper cites.

Generative adversarial networks: An overview

Creswell, A., White, T., Dumoulin, V., Arulkumaran, K., Sengupta, B., and Bharath, A. A · 2018

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Attngan: Fine-grained text to image generation with attentional generative adversarial networks

Xu, T., Zhang, P., Huang, Q., Zhang, H., Gan, Z., Huang, X., and He, X · 2018

Earlier work this paper cites.

Arcface: Additive angular margin loss for deep face recognition

Deng, J., Guo, J., Xue, N., and Zafeiriou, S · 2019

Earlier work this paper cites.

Denoising diffusion probabilistic models

Ho, J., Jain, A., and Abbeel, P · 2020

Earlier work this paper cites.

Clipscore: A reference-free evaluation metric for image captioning

Original

Hessel, J., Holtzman, A., Forbes, M., Bras, R. L., and Choi, Y · 2021

Earlier work this paper cites.

Learning transferable visual models from natural language supervision

Radford, A., Kim, J. W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al · 2021

Earlier work this paper cites.

Zero-shot text-to-image generation

Ramesh, A., Pavlov, M., Goh, G., Gray, S., Voss, C., Radford, A., Chen, M., and Sutskever, I · 2021

Earlier work this paper cites.

GitHub Merge: [Safety Checker] Add Safety Checker Module

CompVis · 2022

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Cogview2: Faster and better text-to-image generation via hierarchical transformers

Ding, M., Zheng, W., Hong, W., and Tang, J · 2022

Cited alongside, same era.

Make-a-scene: Scene-based text-to-image generation with human priors

Gafni, O., Polyak, A., Ashual, O., Sheynin, S., Parikh, D., and Taigman, Y · 2022

Cited alongside, same era.

An image is worth one word: Personalizing text-to-image generation using textual inversion

Original

Gal, R., Alaluf, Y., Atzmon, Y., Patashnik, O., Bermano, A. H., Chechik, G., and Cohen-Or, D · 2022

Cited alongside, same era.

Human evaluation of text-to-image models on a multi-task benchmark

Original

Petsiuk, V., Siemenn, A. E., Surbehera, S., Chin, Z., Tyser, K., Hunter, G., Raghavan, A., Hicke, Y., Plummer, B. A., Kerret, O., et al · 2022

Cited alongside, same era.

Hierarchical text-conditional image generation with clip latents

Original

Stable bias: Analyzing societal representations in diffusion models

Original

Luccioni, A. S., Akiki, C., Mitchell, M., and Jernite, Y · 2023

Later among the works it cites.

Gpt-4v(ision) system card

OpenAI · 2023

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Dall·e 3 system card, 2023

OpenAI · 2023

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Sdxl: Improving latent diffusion models for high-resolution image synthesis

Original

Podell, D., English, Z., Lacey, K., Blattmann, A., Dockhorn, T., Müller, J., Penna, J., and Rombach, R · 2023

Later among the works it cites.

Unsafe diffusion: On the generation of unsafe images and hateful memes from text-to-image models

Original

Qu, Y., Shen, X., He, X., Backes, M., Zannettou, S., and Zhang, Y · 2023

Later among the works it cites.