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NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion.

, , , , , , и . CoRR, (2021)

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Fang-Fang Tang

Fang Chen

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Xianjie Fang

 

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NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion., , , , , , и . CoRR, (2021)Learning to Check: Unleashing Potentials for Self-Correction in Large Language Models., , , , и . CoRR, (2024)A Simple and Effective Method to Improve Zero-Shot Cross-Lingual Transfer Learning., , , , , , , , и . COLING, стр. 4372-4380. International Committee on Computational Linguistics, (2022)Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity Matching., , , , , и . CoRR, (2022)Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity Matching., , , , , , , , , и 6 other автор(ы). NAACL-HLT (Findings), стр. 2171-2181. Association for Computational Linguistics, (2022)Unicoder-VL: A Universal Encoder for Vision and Language by Cross-Modal Pre-Training., , , , и . AAAI, стр. 11336-11344. AAAI Press, (2020)Identity-Based Chameleon Hash without Random Oracles and Application in the Mobile Internet., , , , и . ICC, стр. 1-6. IEEE, (2021)Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data Poisoning., , , , , и . ACM Multimedia, стр. 1577-1587. ACM, (2023)Learning 3D Photography Videos via Self-supervised Diffusion on Single Images., , , , , , , , , и 2 other автор(ы). IJCAI, стр. 1506-1514. ijcai.org, (2023)Revisiting Unsupervised Domain Adaptation Models: A Smoothness Perspective., , , , и . ACCV (6), том 13846 из Lecture Notes in Computer Science, стр. 338-356. Springer, (2022)