34 citations · 49 across the 8 of their papers we have counts for
8 papers · 1 filter
Engram-E2VID: Reference-Based Event-to-Video Reconstruction via Generative Activation of Appearance Engrams
Feiyu Ji, Xiang Li, Hao Ma +6
Reference-based event-to-video reconstruction aims to recover target RGB frames from a reference frame and the event stream captured over the reference-to-target interval. Although…
DirectFisheye-GS: Enabling Native Fisheye Input in Gaussian Splatting with Cross-View Joint Optimization
Zhengxian Yang, Fei Xie, Xutao Xue +5
3D Gaussian Splatting (3DGS) has enabled efficient 3D scene reconstruction from everyday images with real-time, high-fidelity rendering, greatly advancing VR/AR applications. Fishe…
Cross-Camera Deep Colorization
Yaping Zhao, Haitian Zheng, Mengqi Ji +1
In this paper, we consider the color-plus-mono dual-camera system and propose an end-to-end convolutional neural network to align and fuse images from it in an efficient and cost-e…
EFENet: Reference-based Video Super-Resolution with Enhanced Flow Estimation
Yaping Zhao, Mengqi Ji, Ruqi Huang +2
In this paper, we consider the problem of reference-based video super-resolution(RefVSR), i.e., how to utilize a high-resolution (HR) reference frame to super-resolve a low-resolut…
Zoom in to the details of human-centric videos
Guanghan Li, Yaping Zhao, Mengqi Ji +2
Presenting high-resolution (HR) human appearance is always critical for the human-centric videos. However, current imagery equipment can hardly capture HR details all the time. Exi…
SurfaceNet+: An End-to-end 3D Neural Network for Very Sparse Multi-view Stereopsis
Mengqi Ji, Jinzhi Zhang, Qionghai Dai +1
Multi-view stereopsis (MVS) tries to recover the 3D model from 2D images. As the observations become sparser, the significant 3D information loss makes the MVS problem more challen…