From data to functa: Your data point is a function and you can treat it like one

28 January 2022

Emilien Dupont

Hyunjik Kim

S. M. Ali Eslami

Danilo Jimenez Rezende

Papers citing "From data to functa: Your data point is a function and you can treat it like one"

30 / 30 papers shown

Title
IM-Portrait: Learning 3D-aware Video Diffusion for Photorealistic Talking Heads from Monocular Videos Yuan Li Ziqian Bai Feitong Tan Zhaopeng Cui S. Fanello Yinda Zhang DiffM VGen 57 0 0 27 Apr 2025
Geometry aware inference of steady state PDEs using Equivariant Neural Fields representations Giovanni Catalani Michaël Bauerheim Frédéric Tost Xavier Bertrand Joseph Morlier AI4CE 49 0 0 24 Apr 2025
SCENT: Robust Spatiotemporal Learning for Continuous Scientific Data via Scalable Conditioned Neural Fields David K. Park Xihaier Luo Guang Zhao Seungjun Lee M. Oprescu Shinjae Yoo AI4TS 27 0 0 16 Apr 2025
Adversarial Robustness in Parameter-Space Classifiers Tamir Shor Ethan Fetaya Chaim Baskin A. Bronstein AAML OOD 162 0 0 27 Feb 2025
3D-Adapter: Geometry-Consistent Multi-View Diffusion for High-Quality 3D Generation Hansheng Chen Bokui Shen Yulin Liu Ruoxi Shi Linqi Zhou Connor Z. Lin Jiayuan Gu H. Su Gordon Wetzstein Leonidas J. Guibas 94 1 0 21 Feb 2025
FuncGenFoil: Airfoil Generation and Editing Model in Function Space Jinouwen Zhang Junjie Ren A. Yang Yan Lu Lu Chen Hairun Xie Jing Wang Miao Zhang W. Ouyang Shixiang Tang 156 0 0 15 Feb 2025
Collaborative Imputation of Urban Time Series through Cross-city Meta-learning Tong Nie Wei Ma Jian-jun Sun Yu Yang Jiannong Cao AI4TS AI4CE 36 0 0 20 Jan 2025
Tactile Functasets: Neural Implicit Representations of Tactile Datasets Sikai Li Samanta Rodriguez Yiming Dou Andrew Owens Nima Fazeli 23 0 0 22 Sep 2024
Monomial Matrix Group Equivariant Neural Functional Networks Hoang V. Tran Thieu N. Vo Tho H. Tran An T. Nguyen Tan M. Nguyen 54 5 0 18 Sep 2024
A Latent Implicit 3D Shape Model for Multiple Levels of Detail Benoît Guillard Marc Habermann Christian Theobalt Pascal Fua 3DV 48 1 0 10 Sep 2024
Attention Beats Linear for Fast Implicit Neural Representation Generation Shuyi Zhang Ke Liu Jingjun Gu Xiaoxu Cai Zhihua Wang Jiajun Bu Haishuai Wang 45 1 0 22 Jul 2024
Grounding Continuous Representations in Geometry: Equivariant Neural Fields David R. Wessels David M. Knigge Samuele Papa Riccardo Valperga Sharvaree P. Vadgama E. Gavves Erik J. Bekkers 40 7 0 09 Jun 2024
DIRECT-3D: Learning Direct Text-to-3D Generation on Massive Noisy 3D Data Qihao Liu Yi Zhang Song Bai Adam Kortylewski Alan Yuille 34 9 0 06 Jun 2024
Part-aware Shape Generation with Latent 3D Diffusion of Neural Voxel Fields Yuhang Huang SHilong Zou Xinwang Liu K. Xu DiffM 59 0 0 02 May 2024
Graph Metanetworks for Processing Diverse Neural Architectures Derek Lim Haggai Maron Marc T. Law Jonathan Lorraine James Lucas AI4CE 31 30 0 07 Dec 2023
In Search of a Data Transformation That Accelerates Neural Field Training Junwon Seo Sangyoon Lee Kwang In Kim Jaeho Lee 33 3 0 28 Nov 2023
Latent assimilation with implicit neural representations for unknown dynamics Zhuoyuan Li Bin Dong Pingwen Zhang AI4CE 22 3 0 18 Sep 2023
CoNeS: Conditional neural fields with shift modulation for multi-sequence MRI translation Yunjie Chen Marius Staring O. M. Neve Stephan R. Romeijn Erik F. Hensen Berit M. Verbist J. Wolterink Qian Tao DiffM MedIm 20 3 0 06 Sep 2023
AI-Generated Content (AIGC) for Various Data Modalities: A Survey Lin Geng Foo Hossein Rahmani J. Liu 73 31 0 27 Aug 2023
Neural Modulation Fields for Conditional Cone Beam Neural Tomography Samuele Papa David M. Knigge Riccardo Valperga N. Moriakov Miltos Kofinas J. Sonke E. Gavves 36 3 0 17 Jul 2023
Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction Hansheng Chen Jiatao Gu Anpei Chen Wei Tian Z. Tu Lingjie Liu Haoran Su VGen DiffM 39 146 0 13 Apr 2023
$$\infty$-Diff: Infinite Resolution Diffusion with Subsampled Mollified States$ $\infty$ -Diff: Infinite Resolution Diffusion with Subsampled Mollified States Sam Bond-Taylor Chris G. Willcocks 32 15 0 31 Mar 2023
Score-based Diffusion Models in Function Space Jae Hyun Lim Nikola B. Kovachki Ricardo Baptista Christopher Beckham Kamyar Azizzadenesheli ... Karsten Kreis Jan Kautz Christopher Pal Arash Vahdat Anima Anandkumar DiffM 70 37 0 14 Feb 2023
Variational Mixture of HyperGenerators for Learning Distributions Over Functions Batuhan Koyuncu Pablo Sánchez-Martín I. Peis Pablo Martínez Olmos Isabel Valera BDL GAN DRL 16 5 0 13 Feb 2023
Deep Learning on Implicit Neural Representations of Shapes Luca de Luigi Adriano Cardace Riccardo Spezialetti Pierluigi Zama Ramirez Samuele Salti Luigi Di Stefano 21 46 0 10 Feb 2023
Spatial Functa: Scaling Functa to ImageNet Classification and Generation Matthias Bauer Emilien Dupont Andy Brock Dan Rosenbaum Jonathan Richard Schwarz Hyunjik Kim DiffM 23 35 0 06 Feb 2023
Equivariant Architectures for Learning in Deep Weight Spaces Aviv Navon Aviv Shamsian Idan Achituve Ethan Fetaya Gal Chechik Haggai Maron 36 63 0 30 Jan 2023
Generalizable Implicit Neural Representations via Instance Pattern Composers Chiheon Kim Doyup Lee Saehoon Kim Minsu Cho Wook-Shin Han AI4CE 18 24 0 23 Nov 2022
ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images Matthew D. Hoffman T. Le Pavel Sountsov Christopher Suter Ben Lee Vikash K. Mansinghka Rif A. Saurous BDL 29 12 0 27 Oct 2022
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 317 11,681 0 09 Mar 2017