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GeoPano: Towards Geometrically Accurate 3D Reconstruction from a Single Panorama
Jing OU, Zidong Cao, Liaoyuan Fan +7
Panoramic 3D reconstruction enables the holistic recovery of complete 360 scene geometry, offering significant benefits for robotics and AR/VR applications. However, direc…
SAP: Segment Any 4K Panorama
Lutao Jiang, Zidong Cao, Weikai Chen +14
Promptable instance segmentation is widely adopted in embodied and AR systems, yet the performance of foundation models trained on perspective imagery often degrades on 360° panora…
EventVGGT: Exploring Cross-Modal Distillation for Consistent Event-based Depth Estimation
Yinrui Ren, Jinjing Zhu, Kanghao Chen +8
Event cameras offer superior sensitivity to high-speed motion and extreme lighting, making event-based monocular depth estimation a promising approach for robust 3D perception in c…
Beyond a Single Light: A Large-Scale Aerial Dataset for Urban Scene Reconstruction Under Varying Illumination
Zhuoxiao Li, Wenzong Ma, Taoyu Wu +8
Recent advances in Neural Radiance Fields and 3D Gaussian Splatting have demonstrated strong potential for large-scale UAV-based 3D reconstruction tasks by fitting the appearance o…
From Events to Clarity: The Event-Guided Diffusion Framework for Dehazing
Ling Wang, Yunfan Lu, Wenzong Ma +3
Clear imaging under hazy conditions is a critical task. Prior-based and neural methods have improved results. However, they operate on RGB frames, which suffer from limited dynamic…
Hybrid Event Frame Sensors: Modeling, Calibration, and Simulation
Yunfan Lu, Nico Messikommer, Xiaogang Xu +5
Hybrid event-frame sensors integrate an Event Vision Sensor (EVS) and an Active Pixel Sensor (APS) within a single chip, combining the high dynamic range and low latency of the EVS…
DeblurSplat: SfM-free 3D Gaussian Splatting with Event Camera for Robust Deblurring
Pengteng Li, Yunfan Lu, Pinhao Song +4
In this paper, we propose the first Structure-from-Motion (SfM)-free deblurring 3D Gaussian Splatting method via event camera, dubbed DeblurSplat. We address the motion-deblurring…
From Events to Enhancement: A Survey on Event-Based Imaging Technologies
Yunfan Lu, Xiaogang Xu, Pengteng Li +4
Event cameras offering high dynamic range and low latency have emerged as disruptive technologies in imaging. Despite growing research on leveraging these benefits for different im…
SEE: See Everything Every Time -- Adaptive Brightness Adjustment for Broad Light Range Images via Events
Yunfan Lu, Xiaogang Xu, Hao Lu +8
Event cameras, with a high dynamic range exceeding , significantly outperform traditional embedded cameras, robustly recording detailed changing information under various li…
RGB-Event ISP: The Dataset and Benchmark
Yunfan Lu, Yanlin Qian, Ziyang Rao +3
Event-guided imaging has received significant attention due to its potential to revolutionize instant imaging systems. However, the prior methods primarily focus on enhancing RGB i…
EventVL: Understand Event Streams via Multimodal Large Language Model
Pengteng Li, Yunfan Lu, Pinghao Song +3
The event-based Vision-Language Model (VLM) recently has made good progress for practical vision tasks. However, most of these works just utilize CLIP for focusing on traditional p…
HR-INR: Continuous Space-Time Video Super-Resolution via Event Camera
Yunfan Lu, Yusheng Wang, Zipeng Wang +3
Continuous space-time video super-resolution (C-STVSR) aims to simultaneously enhance video resolution and frame rate at an arbitrary scale. Recently, implicit neural representatio…
UniINR: Event-guided Unified Rolling Shutter Correction, Deblurring, and Interpolation
Yunfan LU, Guoqiang Liang, Yusheng Wang +2
Video frames captured by rolling shutter (RS) cameras during fast camera movement frequently exhibit RS distortion and blur simultaneously. Naturally, recovering high-frame-rate gl…