activity
20242026
most citedOmniRe: Omni Urban Scene Reconstruction

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2026

WildCity: A Real-World City-Scale Testbed for Rendering, Simulation, and Spatial Intelligence

Xiangyu Han, Mengyu Yang, Jiaqi Li +9

Humans can navigate an unfamiliar city and gradually form a coherent spatial mental map spanning tens of square kilometers. Can AI build spatial representations at a comparable sca…

cs.CV2026

RealWonder: Real-Time Physical Action-Conditioned Video Generation

Wei Liu, Ziyu Chen, Zizhang Li +3

Current video generation models cannot simulate physical consequences of 3D actions like forces and robotic manipulations, as they lack structural understanding of how actions affe…

cs.CV2025

Towards Efficient and Effective Multi-Camera Encoding for End-to-End Driving

Jiawei Yang, Ziyu Chen, Yurong You +7

We present Flex, an efficient and effective scene encoder that addresses the computational bottleneck of processing high-volume multi-camera data in end-to-end autonomous driving.…

cs.CV2025

InstantSfM: Towards GPU-Native SfM for the Deep Learning Era

Jiankun Zhong, Zitong Zhan, Quankai Gao +6

Structure-from-Motion (SfM) is a fundamental technique for recovering camera poses and scene structure from multi-view imagery, serving as a critical upstream component for applica…

cs.CV2024

A New People-Object Interaction Dataset and NVS Benchmarks

Shuai Guo, Houqiang Zhong, Qiuwen Wang +6

Recently, NVS in human-object interaction scenes has received increasing attention. Existing human-object interaction datasets mainly consist of static data with limited views, off…

cs.CV2024★ 1 cited

OmniRe: Omni Urban Scene Reconstruction

Ziyu Chen, Jiawei Yang, Jiahui Huang +9

We introduce OmniRe, a comprehensive system for efficiently creating high-fidelity digital twins of dynamic real-world scenes from on-device logs. Recent methods using neural field…