Dialogue Director: Bridging the Gap in Dialogue Visualization for Multimodal Storytelling

Reynal & Hitchcock, 1943

A. de Saint-Exupéry, The Little Prince · 1943

Earlier work this paper cites.

Burlington, Ma: Focal Press, 2010

K. Reisz, G. Millar, and E. Al, The technique of film editing · 2010

Earlier work this paper cites.

A. Mittal, R. Soundararajan, and A. C. Bovik, “Making a “completely blind” image quality analyzer,” IEEE Signal processing letters

2013

Earlier work this paper cites.

Y. Li, Z. Gan, Y. Shen, J. Liu, Y. Cheng, Y. Wu, L. Carin, D. Carlson, and J. Gao, “Storygan: A sequential conditional gan for story visualization,” in CVPR

2019

Earlier work this paper cites.

Y. Song, Z. R. Tam, H. Chen, H. Lu, and H. Shuai, “Character-preserving coherent story visualization,” in ECCV

2020

Earlier work this paper cites.

P. Lewis, E. Perez, A. Piktus, F. Petroni, V. Karpukhin, N. Goyal, H. Küttler, M. Lewis, W.-t. Yih, T. Rocktäschel, et al

2020

Earlier work this paper cites.

A. Maharana and M. Bansal, “Integrating visuospatial, linguistic, and commonsense structure into story visualization,” in EMNLP

2021

Earlier work this paper cites.

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

2021

Earlier work this paper cites.

B. Li and T. Lukasiewicz, “Learning to model multimodal semantic alignment for story visualization,” in EMNLP

2022

Earlier work this paper cites.

R. Rombach, A. Blattmann, D. Lorenz, P. Esser, and B. Ommer, “High-resolution image synthesis with latent diffusion models,” in CVPR

2022

Earlier work this paper cites.

X. Miao, G. Oliaro, Z. Zhang, X. Cheng, H. Jin, T. Chen, and Z. Jia, “Towards efficient generative large language model serving: A survey from algorithms to systems,” 2023

2023

Earlier work this paper cites.

F. Shen, H. Ye, J. Zhang, C. Wang, X. Han, and W. Yang, “Advancing pose-guided image synthesis with progressive conditional diffusion models,” arXiv preprint arXiv:2310.06313

Original

2023

Earlier work this paper cites.

Y. Gong, Y. Pang, X. Cun, M. Xia, Y. He, H. Chen, L. Wang, Y. Zhang, X. Wang, Y. Shan, and Y. Yang, “Interactive story visualization with multiple characters,” in SIGGRAPH Asia 2023 Conference Papers

2023

Earlier work this paper cites.

H. Ye, J. Zhang, S. Liu, X. Han, and W. Yang, “Ip-adapter: Text compatible image prompt adapter for text-to-image diffusion models,” arXiv preprint arxiv:2308.06721

Original

2023

Earlier work this paper cites.

T. Brooks, B. Peebles, C. Holmes, W. DePue, Y. Guo, L. Jing, D. Schnurr, J. Taylor, T. Luhman, E. Luhman, C. Ng, R. Wang, and A. Ramesh, “Video generation models as world simulators,” 2024

2024

Cited alongside, same era.

Z. Xie, H. Mo, and C. Gao, “Video-driven sketch animation via cyclic reconstruction mechanism,” in ICME

2024

Cited alongside, same era.

Y. Guo, R. Yan, Y. Wu, and S. Ma, “Styleself: Style-controllable high-fidelity conversational virtual avatars generation,” in ICMEW

2024

Cited alongside, same era.

J. Guo, S. Su, J. Zhu, L. Gao, and J. Song, “Training-free semantic video composition via pre-trained diffusion model,” in ICME

2024

Cited alongside, same era.

S. Xiao, Y. Wang, J. Zhou, H. Yuan, X. Xing, R. Yan, S. Wang, T. Huang, and Z. Liu, “Omnigen: Unified image generation,” arXiv preprint arXiv:2409.11340

Original

F. Shen and J. Tang, “Imagpose: A unified conditional framework for pose-guided person generation,” in NeuralIPS

2024

Closest in time.

L. Yang, Z. Yu, C. Meng, M. Xu, S. Ermon, and B. Cui, “Mastering text-to-image diffusion: Recaptioning, planning, and generating with multimodal llms,” in ICML

2024

Closest in time.

F. Shen, X. Jiang, X. He, H. Ye, C. Wang, X. Du, Z. Li, and J. Tang, “Imagdressing-v1: Customizable virtual dressing,” arXiv preprint arXiv:2407.12705

Original

2024

Closest in time.

W. Feng, W. Zhu, T.-j. Fu, V. Jampani, A. Akula, X. He, S. Basu, X. E. Wang, and W. Y. Wang, “Layoutgpt: Compositional visual planning and generation with large language models,” NeurIPS

2024

Closest in time.

Y. Li, H. Shi, B. Hu, L. Wang, J. Zhu, J. Xu, Z. Zhao, and M. Zhang, “Anim-director: A large multimodal model powered agent for controllable animation video generation,” in SIGGRAPH Asia 2024 Conference Papers