1 code implementation • 27 Feb 2024 • Yi Huang, Jiancheng Huang, Yifan Liu, Mingfu Yan, Jiaxi Lv, Jianzhuang Liu, Wei Xiong, He Zhang, Shifeng Chen, Liangliang Cao
In this survey, we provide an exhaustive overview of existing methods using diffusion models for image editing, covering both theoretical and practical aspects in the field.
no code implementations • 21 Nov 2023 • Jiaxi Lv, Yi Huang, Mingfu Yan, Jiancheng Huang, Jianzhuang Liu, Yifan Liu, Yafei Wen, Xiaoxin Chen, Shifeng Chen
To tackle these issues, we propose GPT4Motion, a training-free framework that leverages the planning capability of large language models such as GPT, the physical simulation strength of Blender, and the excellent image generation ability of text-to-image diffusion models to enhance the quality of video synthesis.
no code implementations • 1 Oct 2023 • Jiancheng Huang, Yifan Liu, Yi Huang, Shifeng Chen
To address the lack of labelled datasets for these seal-related tasks, we propose Seal2Real, a generative method that generates a large amount of labelled document seal data, and construct a Seal-DB dataset containing 20K images with labels.
no code implementations • 29 Sep 2023 • Jiancheng Huang, Donghao Zhou, Shifeng Chen
Single-shot face anti-spoofing (FAS) is a key technique for securing face recognition systems, and it requires only static images as input.
no code implementations • 28 Sep 2023 • Jiancheng Huang, Yifan Liu, Jin Qin, Shifeng Chen
Text-conditioned image editing is a recently emerged and highly practical task, and its potential is immeasurable.
no code implementations • 26 Sep 2023 • Jiancheng Huang, Yifan Liu, Shifeng Chen
Learning-based methods have attracted a lot of research attention and led to significant improvements in low-light image enhancement.
no code implementations • 26 Aug 2023 • Jiaxi Lv, Liang Zhang, Yi Huang, Jiancheng Huang, Shifeng Chen
To this end, DiffAtt uses the difference between two graph-level embeddings as an attentional mechanism to capture the graph structural difference of the two graphs.
1 code implementation • 18 Aug 2023 • Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, JianGuang Lou, Chongyang Tao, Xiubo Geng, QIngwei Lin, Shifeng Chen, Dongmei Zhang
Through extensive experiments on two mathematical reasoning benchmarks, namely GSM8k and MATH, we reveal the extraordinary capabilities of our model.
Ranked #50 on Arithmetic Reasoning on GSM8K (using extra training data)
1 code implementation • 23 May 2023 • Yi Huang, Jiancheng Huang, Jianzhuang Liu, Mingfu Yan, Yu Dong, Jiaxi Lv, Chaoqi Chen, Shifeng Chen
Latest diffusion-based methods for many image restoration tasks outperform traditional models, but they encounter the long-time inference problem.
1 code implementation • 28 May 2022 • Wanshui Gan, Hongbin Xu, Yi Huang, Shifeng Chen, Naoto Yokoya
The proposed LUTs-based refinement module achieves the performance gain with little computational cost and could serve as the plug-and-play module in the novel view synthesis task.
1 code implementation • CVPR 2022 • Ningkai Mo, Wanshui Gan, Naoto Yokoya, Shifeng Chen
In this paper, a computation efficient regression framework is presented for estimating the 6D pose of rigid objects from a single RGB-D image, which is applicable to handling symmetric objects.
1 code implementation • 29 Sep 2021 • Guotai Wang, Shuwei Zhai, Giovanni Lasio, Baoshe Zhang, Byong Yi, Shifeng Chen, Thomas J. Macvittie, Dimitris Metaxas, Jinghao Zhou, Shaoting Zhang
Computed Tomography (CT) plays an important role in monitoring radiation-induced Pulmonary Fibrosis (PF), where accurate segmentation of the PF lesions is highly desired for diagnosis and treatment follow-up.
no code implementations • 15 Sep 2021 • Zhiwei Zhang, Yu Dong, Hanyu Peng, Shifeng Chen
One-class novelty detection is conducted to identify anomalous instances, with different distributions from the expected normal instances.
1 code implementation • 9 May 2021 • Yuxiang Zhao, Wenhao Wu, Yue He, YingYing Li, Xiao Tan, Shifeng Chen
In this paper, we propose a straightforward and efficient framework that includes pre-processing, a dynamic track module, and post-processing.
no code implementations • 14 Jul 2020 • Zhiwei Zhang, Shifeng Chen, Lei Sun
The progressive learning of knowledge distillation is a two-step approach that continuously improves the performance of the student GAN and achieves better performance than single step methods.
Ranked #12 on Anomaly Detection on Fashion-MNIST
no code implementations • 9 Feb 2020 • Wenhao Wu, Dongliang He, Xiao Tan, Shifeng Chen, Yi Yang, Shilei Wen
In a nutshell, we treat input frames and network depth of the computational graph as a 2-dimensional grid, and several checkpoints are placed on this grid in advance with a prediction module.
no code implementations • 20 Jan 2020 • Yu Dong, Yihao Liu, He Zhang, Shifeng Chen, Yu Qiao
With the proposed Fusion-discriminator which takes frequency information as additional priors, our model can generator more natural and realistic dehazed images with less color distortion and fewer artifacts.
no code implementations • ICCV 2019 • Wenhao Wu, Dongliang He, Xiao Tan, Shifeng Chen, Shilei Wen
Video Recognition has drawn great research interest and great progress has been made.
Ranked #7 on Action Recognition on ActivityNet
1 code implementation • 31 Jan 2019 • Ming Zhang, Xuefei Zhe, Le Ou-Yang, Shifeng Chen, Hong Yan
Deep hashing models have been proposed as an efficient method for large-scale similarity search.
1 code implementation • 12 Mar 2018 • Xuefei Zhe, Shifeng Chen, Hong Yan
In this regard, we propose a novel deep supervised hashing model to learn more compact class-level similarity preserving binary codes.
1 code implementation • 27 Feb 2018 • Xuefei Zhe, Shifeng Chen, Hong Yan
Deep distance metric learning (DDML), which is proposed to learn image similarity metrics in an end-to-end manner based on the convolution neural network, has achieved encouraging results in many computer vision tasks.$L2$-normalization in the embedding space has been used to improve the performance of several DDML methods.