Event-based vision, inspired by the human visual system, offers transformative capabilities
such as low latency, high dynamic range, and reduced power consumption. This paper …

Neural Radiance Fields (NeRF) achieves impressive 3D representation learning and novel
view synthesis results with high-quality multi-view images as input. However, motion blur in …

A spike camera is a specialized high-speed visual sensor that offers advantages such as
high temporal resolution and high dynamic range compared to conventional frame cameras …

The distinctive design philosophy of event cameras makes them ideal for high-speed, high
dynamic range & low-light environments, where standard cameras underperform. However …

Event cameras, offering high temporal resolution and high dynamic range, have brought a
new perspective to addressing 3D reconstruction challenges in fast-motion and low-light …

Scene reconstruction from casually captured videos has wide applications in real-world
scenarios. With recent advancements in differentiable rendering techniques, several …

We present a method for reconstructing a clear Neural Radiance Field (NeRF) even with fast
camera motions. To address blur artifacts, we leverage both (blurry) RGB images and event …

Volumetric reconstruction of dynamic scenes is an important problem in computer vision. It is
especially challenging in poor lighting and with fast motion. It is partly due to the limitations …

3D Gaussian Splatting (3D-GS) enables real-time rendering but struggles with fast motion
due to low temporal resolution of RGB cameras. To address this, we introduce the first …

Neural Radiance Fields (NeRFs) have shown significant promise in 3D scene reconstruction
and novel view synthesis. In agricultural settings, NeRFs can serve as digital twins …