activity
20232026
most citedEmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision

18 citations · 27 across the 16 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

cs.CV2024★ 1 cited

STORM: Spatio-Temporal Reconstruction Model for Large-Scale Outdoor Scenes

Jiawei Yang, Jiahui Huang, Yuxiao Chen +10

We present STORM, a spatio-temporal reconstruction model designed for reconstructing dynamic outdoor scenes from sparse observations. Existing dynamic reconstruction methods often…

cs.CV2024

InfiniCube: Unbounded and Controllable Dynamic 3D Driving Scene Generation with World-Guided Video Models

Yifan Lu, Xuanchi Ren, Jiawei Yang +8

We present InfiniCube, a scalable method for generating unbounded dynamic 3D driving scenes with high fidelity and controllability. Previous methods for scene generation either suf…

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…

cs.CV2024

DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features

Letian Wang, Seung Wook Kim, Jiawei Yang +7

We propose DistillNeRF, a self-supervised learning framework addressing the challenge of understanding 3D environments from limited 2D observations in outdoor autonomous driving sc…

cs.CV2024

PreSight: Enhancing Autonomous Vehicle Perception with City-Scale NeRF Priors

Tianyuan Yuan, Yucheng Mao, Jiawei Yang +3

Autonomous vehicles rely extensively on perception systems to navigate and interpret their surroundings. Despite significant advancements in these systems recently, challenges pers…

cs.LG2024

Parallelized Spatiotemporal Binding

Gautam Singh, Yue Wang, Jiawei Yang +4

While modern best practices advocate for scalable architectures that support long-range interactions, object-centric models are yet to fully embrace these architectures. In particu…

cs.CV2024

Denoising Vision Transformers

Jiawei Yang, Katie Z Luo, Jiefeng Li +6

We study a crucial yet often overlooked issue inherent to Vision Transformers (ViTs): feature maps of these models exhibit grid-like artifacts, which hurt the performance of ViTs i…