Learning Positional Embeddings for Coordinate-MLPs

21 December 2021

Papers citing "Learning Positional Embeddings for Coordinate-MLPs"

8 / 8 papers shown

Title
A Simple and Generalist Approach for Panoptic Segmentation Nedyalko Prisadnikov Wouter Van Gansbeke Danda Pani Paudel Luc Van Gool VLM 38 0 0 29 Aug 2024
HR-INR: Continuous Space-Time Video Super-Resolution via Event Camera Yunfan Lu Zipeng Wang Yusheng Wang Hui Xiong 30 4 0 22 May 2024
RBF-PINN: Non-Fourier Positional Embedding in Physics-Informed Neural Networks Chengxi Zeng T. Burghardt A. Gambaruto AI4CE 11 3 0 13 Feb 2024
Feature Mapping in Physics-Informed Neural Networks (PINNs) Chengxi Zeng T. Burghardt A. Gambaruto 23 1 0 10 Feb 2024
A Sampling Theory Perspective on Activations for Implicit Neural Representations Hemanth Saratchandran Sameera Ramasinghe Violetta Shevchenko Alexander Long Simon Lucey 17 9 0 08 Feb 2024
On Optimal Sampling for Learning SDF Using MLPs Equipped with Positional Encoding Guying Lin Lei Yang Yuan-Bin Liu Congyi Zhang Junhui Hou Xiaogang Jin Taku Komura John Keyser Wenping Wang 38 1 0 02 Jan 2024
Intrinsic Neural Fields: Learning Functions on Manifolds Lukas Koestler Daniel Grittner Michael Moeller Daniel Cremers Zorah Lähner 13 22 0 15 Mar 2022
Neural Fields in Visual Computing and Beyond Yiheng Xie Towaki Takikawa Shunsuke Saito Or Litany Shiqin Yan Numair Khan Federico Tombari James Tompkin Vincent Sitzmann Srinath Sridhar 3DH 12 613 0 22 Nov 2021