A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need? C Zhang, C Zhang, S Zheng, Y Qiao, C Li, M Zhang, SK Dam, CM Thwal, ... arXiv preprint arXiv:2303.11717, 2023 | 133 | 2023 |
One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on Chatgpt in AIGC Era C Zhang, C Zhang, C Li, Y Qiao, S Zheng, SK Dam, M Zhang, JU Kim, ... arXiv preprint arXiv:2304.06488, 2023 | 115 | 2023 |
Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era C Li, C Zhang, A Waghwase, LH Lee, F Rameau, Y Yang, SH Bae, ... arXiv preprint arXiv:2305.06131, 2023 | 33 | 2023 |
A Survey On Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering C Zhang, S Zheng, C Li, Y Qiao, T Kang, X Shan, C Zhang, C Qin, ... | 28 | 2023 |
Understanding Segment Anything Model: SAM is Biased Towards Texture Rather than Shape C Zhang, Y Qiao, S Tariq, S Zheng, C Zhang, C Li, H Shin, CS Hong arXiv preprint arXiv:2311.11465, 2023 | 2 | 2023 |
Toward a Deeper understanding: RetNet viewed through convolution C Li, C Zhang Available at SSRN 4637493, 2023 | 1 | 2023 |
When ChatGPT for Computer Vision Will Come? From 2D to 3D C Li, C Zhang arXiv preprint arXiv:2305.06133, 2023 | 1 | 2023 |