no code implementations • 23 May 2024 • Guotao Liang, Baoquan Zhang, YaoWei Wang, Xutao Li, Yunming Ye, Huaibin Wang, Chuyao Luo, Kola Ye, linfeng Luo
Vector quantization (VQ) is a key technique in high-resolution and high-fidelity image synthesis, which aims to learn a codebook to encode an image with a sequence of discrete codes and then generate an image in an auto-regression manner.
no code implementations • 15 Mar 2024 • Baoquan Zhang, Huaibin Wang, Luo Chuyao, Xutao Li, Liang Guotao, Yunming Ye, Xiaochen Qi, Yao He
To this end, we propose a novel codebook transfer framework with part-of-speech, called VQCT, which aims to transfer a well-trained codebook from pretrained language models to VQIM for robust codebook learning.
no code implementations • 19 Nov 2023 • Xinhai Li, Huaibin Wang, Kuo-Kun Tseng
Text-to-3D, known for its efficient generation methods and expansive creative potential, has garnered significant attention in the AIGC domain.