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cs.CV2024

RoMo: Robust Motion Segmentation Improves Structure from Motion

Lily Goli, Sara Sabour, Mark Matthews +6

There has been extensive progress in the reconstruction and generation of 4D scenes from monocular casually-captured video. While these tasks rely heavily on known camera poses, th…

cs.CV2024

SpotlessSplats: Ignoring Distractors in 3D Gaussian Splatting

Sara Sabour, Lily Goli, George Kopanas +6

3D Gaussian Splatting (3DGS) is a promising technique for 3D reconstruction, offering efficient training and rendering speeds, making it suitable for real-time applications.However…

cs.CV2024

Controlling Space and Time with Diffusion Models

Daniel Watson, Saurabh Saxena, Lala Li +2

We present 4DiM, a cascaded diffusion model for 4D novel view synthesis (NVS), supporting generation with arbitrary camera trajectories and timestamps, in natural scenes, condition…

cs.CV2024

CryoSPIN: Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference

Shayan Shekarforoush, David B. Lindell, Marcus A. Brubaker +1

Cryo-EM is an increasingly popular method for determining the atomic resolution 3D structure of macromolecular complexes (eg, proteins) from noisy 2D images captured by an electron…

cs.CV2024

A Personalized Video-Based Hand Taxonomy: Application for Individuals with Spinal Cord Injury

Mehdy Dousty, David J. Fleet, José Zariffa

Hand function is critical for our interactions and quality of life. Spinal cord injuries (SCI) can impair hand function, reducing independence. A comprehensive evaluation of functi…