1 code implementation • 10 Jun 2023 • Kun Zhou, Wenbo Li, Nianjuan Jiang, Xiaoguang Han, Jiangbo Lu
To address this, we propose NeRFLiX, a general NeRF-agnostic restorer paradigm that learns a degradation-driven inter-viewpoint mixer.
Ranked #1 on Novel View Synthesis on Tanks and Temples
1 code implementation • CVPR 2023 • Kun Zhou, Wenbo Li, Yi Wang, Tao Hu, Nianjuan Jiang, Xiaoguang Han, Jiangbo Lu
Neural radiance fields (NeRF) show great success in novel view synthesis.
Ranked #1 on Novel View Synthesis on LLFF
1 code implementation • 6 Mar 2023 • Yujing Lou, Zelin Ye, Yang You, Nianjuan Jiang, Jiangbo Lu, Weiming Wang, Lizhuang Ma, Cewu Lu
CRIN directly takes the coordinates of points as input and transforms local points into rotation-invariant representations via centrifugal reference frames.
no code implementations • 4 Jul 2022 • Xiaogang Xu, Yitong Yu, Nianjuan Jiang, Jiangbo Lu, Bei Yu, Jiaya Jia
Moreover, we also propose a new video denoising framework, called Recurrent Video Denoising Transformer (RVDT), which can achieve SOTA performance on PVDD and other current video denoising benchmarks.
2 code implementations • NeurIPS 2020 • Wenbo Li, Kun Zhou, Lu Qi, Nianjuan Jiang, Jiangbo Lu, Jiaya Jia
Single image super-resolution (SISR) deals with a fundamental problem of upsampling a low-resolution (LR) image to its high-resolution (HR) version.
2 code implementations • 29 Mar 2021 • Wenbo Li, Kun Zhou, Lu Qi, Liying Lu, Nianjuan Jiang, Jiangbo Lu, Jiaya Jia
We consider the single image super-resolution (SISR) problem, where a high-resolution (HR) image is generated based on a low-resolution (LR) input.
no code implementations • 16 Nov 2020 • Jinmiao Cai, Nianjuan Jiang, Xiaoguang Han, Kui Jia, Jiangbo Lu
Skeleton-based action recognition has attracted research attentions in recent years.
no code implementations • 9 Oct 2020 • Yao Li, Xianggang Yu, Xiaoguang Han, Nianjuan Jiang, Kui Jia, Jiangbo Lu
In this work, we propose an interactive system to design diverse high-quality garment images from fashion sketches and the texture information.
1 code implementation • 10 Mar 2020 • Kun Zhou, Xiaoguang Han, Nianjuan Jiang, Kui Jia, Jiangbo Lu
Estimating 3D human pose from a single image is a challenging task.
no code implementations • ICCV 2019 • Kun Zhou, Xiaoguang Han, Nianjuan Jiang, Kui Jia, Jiangbo Lu
Estimating 3D human pose from a single image is a challenging task.
Ranked #1 on Monocular 3D Human Pose Estimation on Human3.6M (Use Video Sequence metric, using extra training data)
no code implementations • 6 Mar 2019 • Kaimo Lin, Nianjuan Jiang, Loong Fah Cheong, Jiangbo Lu, Xun Xu
In this paper, we propose an efficient local-to-global method to identify background, based on the assumption that as long as there is sufficient camera motion, the cumulative background features will have the largest amount of trajectories.
no code implementations • 21 Sep 2018 • Kun Zhou, Jinmiao Cai, Yao Li, Yulong Shi, Xiaoguang Han, Nianjuan Jiang, Kui Jia, Jiangbo Lu
In this paper, a novel deep-learning based framework is proposed to infer 3D human poses from a single image.
no code implementations • 25 Jun 2018 • Yulong Shi, Xiaoguang Han, Nianjuan Jiang, Kun Zhou, Kui Jia, Jiangbo Lu
Although significant advances have been made in the area of human poses estimation from images using deep Convolutional Neural Network (ConvNet), it remains a big challenge to perform 3D pose inference in-the-wild.
Ranked #239 on 3D Human Pose Estimation on Human3.6M
no code implementations • 8 Sep 2017 • Ramanpreet Singh Pahwa, Jiangbo Lu, Nianjuan Jiang, Tian Tsong Ng, Minh N. Do
Using efficient but robust registration enables us to combine multiple frames of a scene in near real time and generate 3D bounding boxes for potential 3D regions of interest.
no code implementations • CVPR 2017 • Kaimo Lin, Nianjuan Jiang, Shuaicheng Liu, Loong-Fah Cheong, Minh Do, Jiangbo Lu
The choice of motion models is vital in applications like image/video stitching and video stabilization.
no code implementations • CVPR 2015 • Nianjuan Jiang, Daniel Lin, Minh N. Do, Jiangbo Lu
Most conventional structure-from-motion (SFM) techniques require camera pose estimation before computing any scene structure.
no code implementations • 6 Mar 2015 • Zhaopeng Cui, Nianjuan Jiang, Chengzhou Tang, Ping Tan
This paper derives a novel linear position constraint for cameras seeing a common scene point, which leads to a direct linear method for global camera translation estimation.