no code implementations • ECCV 2020 • Lele Chen, Guofeng Cui, Celong Liu, Zhong Li, Ziyi Kou, Yi Xu, Chenliang Xu
Monocular 3D object detection is a challenging task due to unreliable depth, resulting in a distinct performance gap between monocular and LiDAR-based approaches.
no code implementations • 24 Dec 2024 • Chenglin Yang, Celong Liu, Xueqing Deng, Dongwon Kim, Xing Mei, Xiaohui Shen, Liang-Chieh Chen
We present 1. 58-bit FLUX, the first successful approach to quantizing the state-of-the-art text-to-image generation model, FLUX. 1-dev, using 1. 58-bit weights (i. e., values in {-1, 0, +1}) while maintaining comparable performance for generating 1024 x 1024 images.
no code implementations • 23 Sep 2024 • Luchuan Song, Lele Chen, Celong Liu, Pinxin Liu, Chenliang Xu
Given a short monocular video sequence and a written instruction about the avatar style, our model can generate a high-fidelity toonified avatar that can be driven in real-time by another video with arbitrary identities.
no code implementations • CVPR 2023 • Han Yan, Celong Liu, Chao Ma, Xing Mei
VDB takes both the advantages of sparse and dense volumes for compact data representation and efficient data access, being a promising data structure for NeRF data interpolation and ray marching.
no code implementations • 15 May 2021 • Zhong Li, Liangchen Song, Celong Liu, Junsong Yuan, Yi Xu
In this paper, we present an efficient and robust deep learning solution for novel view synthesis of complex scenes.
1 code implementation • 16 Jul 2020 • Lele Chen, Guofeng Cui, Celong Liu, Zhong Li, Ziyi Kou, Yi Xu, Chenliang Xu
When people deliver a speech, they naturally move heads, and this rhythmic head motion conveys prosodic information.
no code implementations • 28 Sep 2018 • Celong Liu, Xin Li
We develop a new algorithm to perform facial reconstruction from a given skull.