과제정보
본 연구는 과학기술정보통신부의 재원으로 정보통신기획평가원의 지원을 받아 수행된 연구임[No. RS-2023-00225441, 디지털 에셋의 다형성 변형을 위한 지식, 정보 구조화 기술].
참고문헌
- R. Rombach et al., "High-resolution image synthesis with latent diffusion models," in Proc. IEEE/CVF CVPR, (New Orleans, LA, USA), June 2022, pp. 10684-10695.
- A. Blattmann et al., "Align your latents: High-resolution video synthesis with latent diffusion models," in Proc. IEEE/CVF CVPR, (Vancouver, Canada), June 2023, pp. 22563-22575.
- GANverse3D: A neural network from NVIDIA reconstructs a 3D Model from a single photo, 2022, https://neurohive.io/en/news/ganverse3d-a-neuralnetwork-from-nvidia-reconstructs-a-3d-model-from-a-single-photo/
- G.B.M. Stan et al., "LDM3D: Latent diffusion model for 3D," arXiv preprint, CoRR, 2023, arXiv: 2305.10853.
- A. Vaswani et al., "Attention is all you need," in Proc. NIPS, (Long Beach, CA, USA), Dec. 2017, pp. 5998-6008.
- B. Jiang et al., "MotionGPT: Human motion as a foreign language," arXiv preprint, CoRR, 2023, arXiv: 2306.14795.
- J.S. Park et al., "Generative agents: Interactive simulacra of human behavior," in Proc. ACM UIST, (San Francisco, CA, USA), Oct. 2023, pp. 1-22.
- AI Dungeon, https://play.aidungeon.com/(Retrieved Date Accessed 2024. 1. 1.)
- 미라클아이, ""잘 지내?" "그렇게 좋진 않아"...같은 게임 샀는데 내용 다르다고?," 2024. 1. 1.
- Bitmagic Games, https://bitmagic.games/(Retrieved Date Accessed 2024. 1. 2.)
- A. Summerville and M. Mateas, "Super mario as a string: Platformer level generation via lstms," arXiv preprint, CoRR, 2016, arXiv: 1603.00930.
- V. Volz et al., "Evolving mario levels in the latent space of a deep convolutional generative adversarial network," in Proc. GECCO, (Kyoto, Japan), Jul. 2018, pp. 221-228.
- A. Sarkar, Z. Yang, and S. Cooper, "Conditional level generation and game blending," arXiv preprint, CoRR, 2020, arXiv: 2010.07735.
- A. Khalifa et al., "Pcgrl: Procedural content generation via reinforcement learning," AAAI Conf. Art. Intell. Interact. Digit. Entertain., vol. 16, no. 1, 2020, pp. 95-101.
- S. Earle et al., "Learning controllable content generators," in Proc. IEEE CoG, (Copenhagen, Denmark), Aug. 2021, pp. 1-9.
- Z. Jiang et al., "Learning controllable 3D level generators," in Proc. FDG, (Athens, Greece), Sept. 2022, pp. 1-9.
- R. Martin-Brualla et al., "Nerf in the wild: Neural radiance fields for unconstrained photo collections," in Proc. IEEE/CVF CVPR, (Virtual), June 2021.
- F. Liu, M. Zhang, and R. Budiu, AI as a UX Assistant, Oct. 2023, https://www.nngroup.com/articles/ai-roles-ux/#Design_Recommendations