no code implementations • 7 May 2024 • Fan Bao, Chendong Xiang, Gang Yue, Guande He, Hongzhou Zhu, Kaiwen Zheng, Min Zhao, Shilong Liu, Yaole Wang, Jun Zhu
We introduce Vidu, a high-performance text-to-video generator that is capable of producing 1080p videos up to 16 seconds in a single generation.
no code implementations • 6 Dec 2023 • Zehua Chen, Guande He, Kaiwen Zheng, Xu Tan, Jun Zhu
Specifically, we leverage the latent representation obtained from text input as our prior, and build a fully tractable Schrodinger bridge between it and the ground-truth mel-spectrogram, leading to a data-to-data process.
1 code implementation • 6 Nov 2023 • Jianhui Li, Shilong Liu, Zidong Liu, Yikai Wang, Kaiwen Zheng, Jinghui Xu, Jianmin Li, Jun Zhu
With the success of Neural Radiance Field (NeRF) in 3D-aware portrait editing, a variety of works have achieved promising results regarding both quality and 3D consistency.
1 code implementation • NeurIPS 2023 • Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu
In this work, we propose a novel formulation towards the optimal parameterization during sampling that minimizes the first-order discretization error of the ODE solution.
1 code implementation • 23 Aug 2023 • Hu Yu, Jie Huang, Kaiwen Zheng, Feng Zhao
The latter stage exploits the strong generation ability of DDPM to compensate for the haze-induced huge information loss, by working in conjunction with the physical modelling.
no code implementations • 3 Jul 2023 • Xiangyu Li, Kaiwen Zheng, Sidong Guo, Xiaoli Ma
The source BS compares the uploaded signal power and shifts UE to another BS that can provide the strongest signal.
1 code implementation • 6 May 2023 • Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu
The probability flow ordinary differential equation (ODE) of diffusion models (i. e., diffusion ODEs) is a particular case of continuous normalizing flows (CNFs), which enables deterministic inference and exact likelihood evaluation.
Ranked #1 on Image Generation on ImageNet 32x32 (bpd metric)
1 code implementation • CVPR 2023 • Jianhui Li, Jianmin Li, Haoji Zhang, Shilong Liu, Zhengyi Wang, Zihao Xiao, Kaiwen Zheng, Jun Zhu
As for imprecise image editing, we attribute the problem to the gap between the latent space of real images and that of generated images.
no code implementations • CVPR 2023 • Jie Huang, Feng Zhao, Man Zhou, Jie Xiao, Naishan Zheng, Kaiwen Zheng, Zhiwei Xiong
Exposure correction task aims to correct the underexposure and its adverse overexposure images to the normal exposure in a single network.
1 code implementation • 16 Jun 2022 • Cheng Lu, Kaiwen Zheng, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
To fill up this gap, we show that the negative likelihood of the ODE can be bounded by controlling the first, second, and third-order score matching errors; and we further present a novel high-order denoising score matching method to enable maximum likelihood training of score-based diffusion ODEs.