most citedLightSpeed: Light and Fast Neural Light Fields on Mobile Devices

2 citations · 3 across the 5 of their papers we have counts for

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cs.CV2024

Through the Curved Cover: Synthesizing Cover Aberrated Scenes with Refractive Field

Liuyue Xie, Jiancong Guo, Laszlo A. Jeni +4

Recent extended reality headsets and field robots have adopted covers to protect the front-facing cameras from environmental hazards and falls. The surface irregularities on the co…

cs.CV20241 cited

Don't Look Twice: Faster Video Transformers with Run-Length Tokenization

Rohan Choudhury, Guanglei Zhu, Sihan Liu +3

Transformers are slow to train on videos due to extremely large numbers of input tokens, even though many video tokens are repeated over time. Existing methods to remove such uninf…

cs.CV20232 cited

LightSpeed: Light and Fast Neural Light Fields on Mobile Devices

Aarush Gupta, Junli Cao, Chaoyang Wang +4

Real-time novel-view image synthesis on mobile devices is prohibitive due to the limited computational power and storage. Using volumetric rendering methods, such as NeRF and its d…

cs.CV20231 cited

TEMPO: Efficient Multi-View Pose Estimation, Tracking, and Forecasting

Rohan Choudhury, Kris Kitani, Laszlo A. Jeni

Existing volumetric methods for predicting 3D human pose estimation are accurate, but computationally expensive and optimized for single time-step prediction. We present TEMPO, an…

cs.CV2023

Unsupervised Style-based Explicit 3D Face Reconstruction from Single Image

Heng Yu, Zoltan A. Milacski, Laszlo A. Jeni

Inferring 3D object structures from a single image is an ill-posed task due to depth ambiguity and occlusion. Typical resolutions in the literature include leveraging 2D or 3D grou…

cs.CV2023

Flow supervision for Deformable NeRF

Chaoyang Wang, Lachlan Ewen MacDonald, Laszlo A. Jeni +1

In this paper we present a new method for deformable NeRF that can directly use optical flow as supervision. We overcome the major challenge with respect to the computationally ine…