most citedDEGS: Deformable Event-based 3D Gaussian Splatting from RGB and Event Stream

3 citations · 4 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2025★ 3 cited

DEGS: Deformable Event-based 3D Gaussian Splatting from RGB and Event Stream

Junhao He, Jiaxu Wang, Jia Li +7

Reconstructing Dynamic 3D Gaussian Splatting (3DGS) from low-framerate RGB videos is challenging. This is because large inter-frame motions will increase the uncertainty of the sol…

cs.CV2024

DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering

Jiaxu Wang, Jingkai Sun, Junhao He +4

Learning-based simulators show great potential for simulating particle dynamics when 3D groundtruth is available, but per-particle correspondences are not always accessible. The de…

cs.CV2024

PFGS: High Fidelity Point Cloud Rendering via Feature Splatting

Jiaxu Wang, Ziyi Zhang, Junhao He +1

Rendering high-fidelity images from sparse point clouds is still challenging. Existing learning-based approaches suffer from either hole artifacts, missing details, or expensive co…

cs.RO2024

Query-based Semantic Gaussian Field for Scene Representation in Reinforcement Learning

Jiaxu Wang, Ziyi Zhang, Qiang Zhang +5

Latent scene representation plays a significant role in training reinforcement learning (RL) agents. To obtain good latent vectors describing the scenes, recent works incorporate t…

cs.CV2024★ 1 cited

EvGGS: A Collaborative Learning Framework for Event-based Generalizable Gaussian Splatting

Jiaxu Wang, Junhao He, Ziyi Zhang +3

Event cameras offer promising advantages such as high dynamic range and low latency, making them well-suited for challenging lighting conditions and fast-moving scenarios. However,…

cs.RO2024

Physical Priors Augmented Event-Based 3D Reconstruction

Jiaxu Wang, Junhao He, Ziyi Zhang +1

3D neural implicit representations play a significant component in many robotic applications. However, reconstructing neural radiance fields (NeRF) from realistic event data remain…

cs.CV2024

Learning Robust Generalizable Radiance Field with Visibility and Feature Augmented Point Representation

Jiaxu Wang, Ziyi Zhang, Renjing Xu

This paper introduces a novel paradigm for the generalizable neural radiance field (NeRF). Previous generic NeRF methods combine multiview stereo techniques with image-based neural…