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20182026
most citedImplicit Neural Representations with Periodic Activation Functions

263 citations · 295 across the 5 of their papers we have counts for

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11 papers · 1 filter

cs.CV2026

Broadband Hyperspectral 3D Imaging using Dispersed Structured Light

Suhyun Shin, Yunseong Moon, Ryota Maeda +3

Hyperspectral 3D imaging enables the capture of dense spectral information and scene geometry but has traditionally been confined to narrow spectral windows, typically the visible…

cs.CV2024

TC4D: Trajectory-Conditioned Text-to-4D Generation

Sherwin Bahmani, Xian Liu, Wang Yifan +9

Recent techniques for text-to-4D generation synthesize dynamic 3D scenes using supervision from pre-trained text-to-video models. However, existing representations for motion, such…

cs.CV2023

4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling

Sherwin Bahmani, Ivan Skorokhodov, Victor Rong +7

Recent breakthroughs in text-to-4D generation rely on pre-trained text-to-image and text-to-video models to generate dynamic 3D scenes. However, current text-to-4D methods face a t…

cs.CV2023

Transient Neural Radiance Fields for Lidar View Synthesis and 3D Reconstruction

Anagh Malik, Parsa Mirdehghan, Sotiris Nousias +2

Neural radiance fields (NeRFs) have become a ubiquitous tool for modeling scene appearance and geometry from multiview imagery. Recent work has also begun to explore how to use add…

cs.CV20221 cited

SparsePose: Sparse-View Camera Pose Regression and Refinement

Samarth Sinha, Jason Y. Zhang, Andrea Tagliasacchi +2

Camera pose estimation is a key step in standard 3D reconstruction pipelines that operate on a dense set of images of a single object or scene. However, methods for pose estimation…

cs.CV20226 cited

Scale-Agnostic Super-Resolution in MRI using Feature-Based Coordinate Networks

Dave Van Veen, Rogier van der Sluijs, Batu Ozturkler +9

We propose using a coordinate network decoder for the task of super-resolution in MRI. The continuous signal representation of coordinate networks enables this approach to be scale…