no code implementations • 3 Apr 2024 • Xiangyue Liu, Han Xue, Kunming Luo, Ping Tan, Li Yi
We present GenN2N, a unified NeRF-to-NeRF translation framework for various NeRF translation tasks such as text-driven NeRF editing, colorization, super-resolution, inpainting, etc.
no code implementations • 25 Feb 2024 • Hongjie Wu, Linchao He, Mingqin Zhang, Dongdong Chen, Kunming Luo, Mengting Luo, Ji-Zhe Zhou, Hu Chen, Jiancheng Lv
Specifically, we opt for a sample consistent with the measurement identity at each generative step, exploiting the sampling selection as an avenue for output stability and enhancement.
no code implementations • 5 Oct 2023 • Chuan Fang, Xiaotao Hu, Kunming Luo, Ping Tan
To address these problems, we present Ctrl-Room, which is able to generate convincing 3D rooms with designer-style layouts and high-fidelity textures from just a text prompt.
1 code implementation • ICCV 2023 • Guangyang Wu, Xiaohong Liu, Kunming Luo, Xi Liu, Qingqing Zheng, Shuaicheng Liu, Xinyang Jiang, Guangtao Zhai, Wenyi Wang
To train and evaluate the proposed AccFlow, we have constructed a large-scale high-quality dataset named CVO, which provides ground-truth optical flow labels between adjacent and distant frames.
no code implementations • 22 Jul 2023 • Linchao He, Hongyu Yan, Mengting Luo, Hongjie Wu, Kunming Luo, Wang Wang, Wenchao Du, Hu Chen, Hongyu Yang, Yi Zhang, Jiancheng Lv
To address this issue, we propose to utilize the history information of the diffusion-based inverse solvers.
no code implementations • ICCV 2023 • Xinglong Luo, Kunming Luo, Ao Luo, Zhengning Wang, Ping Tan, Shuaicheng Liu
Previous datasets are created by either capturing real scenes by event cameras or synthesizing from images with pasted foreground objects.
no code implementations • 23 Jan 2023 • Haipeng Li, Kunming Luo, Bing Zeng, Shuaicheng Liu
Second, we design a self-guided fusion module (SGF) to fuse the background motion extracted from the gyro field with the optical flow and guide the network to focus on motion details.
1 code implementation • 22 Jul 2022 • Yunhui Han, Kunming Luo, Ao Luo, Jiangyu Liu, Haoqiang Fan, Guiming Luo, Shuaicheng Liu
Specifically, we first estimate optical flow between a pair of video frames, and then synthesize a new image from this pair based on the predicted flow.
1 code implementation • 8 Feb 2022 • Ao Luo, Fan Yang, Kunming Luo, Xin Li, Haoqiang Fan, Shuaicheng Liu
Our key idea is to decouple the context reasoning from the matching procedure, and exploit scene information to effectively assist motion estimation by learning to reason over the adaptive graph.
no code implementations • 8 Apr 2021 • Kunming Luo, Ao Luo, Chuan Wang, Haoqiang Fan, Shuaicheng Liu
Equipped with these two modules, our method achieves the best performance for unsupervised optical flow estimation on multiple leading benchmarks, including MPI-SIntel, KITTI 2012 and KITTI 2015.
2 code implementations • ICCV 2021 • Haipeng Li, Kunming Luo, Shuaicheng Liu
Experiments show that our method outperforms the state-of-art methods in both regular and challenging scenes.
2 code implementations • CVPR 2021 • Kunming Luo, Chuan Wang, Shuaicheng Liu, Haoqiang Fan, Jue Wang, Jian Sun
By integrating these two components together, our method achieves the best performance for unsupervised optical flow learning on multiple leading benchmarks, including MPI-SIntel, KITTI 2012 and KITTI 2015.
Ranked #1 on Optical Flow Estimation on Sintel Final unsupervised
no code implementations • 30 Jun 2020 • Kunming Luo, Chuan Wang, Nianjin Ye, Shuaicheng Liu, Jue Wang
Occlusion is an inevitable and critical problem in unsupervised optical flow learning.