NAISR: A 3D Neural Additive Model for Interpretable Shape Representation

NAISR: A 3D Neural Additive Model for Interpretable Shape Representation

16 March 2023

Cameron P Worden

Christopher Rutter

Benjamin Shields

Marc Niethammer

Papers citing "NAISR: A 3D Neural Additive Model for Interpretable Shape Representation"

9 / 9 papers shown

Title
SINE: Semantic-driven Image-based NeRF Editing with Prior-guided Editing Field Chong Bao Yinda Zhang Bangbang Yang Tianxing Fan Zesong Yang Hujun Bao Guofeng Zhang Zhaopeng Cui DiffM 187 95 0 23 Mar 2023
NeuMesh: Learning Disentangled Neural Mesh-based Implicit Field for Geometry and Texture Editing Bangbang Yang Chong Bao Junyi Zeng Hujun Bao Yinda Zhang Zhaopeng Cui Guofeng Zhang 3DH AI4CE 184 154 0 25 Jul 2022
DeVRF: Fast Deformable Voxel Radiance Fields for Dynamic Scenes Jia-Wei Liu Yan-Pei Cao Weijia Mao Wenqiao Zhang David Junhao Zhang Jussi Keppo Ying Shan Xiaohu Qie Mike Zheng Shou 162 111 0 31 May 2022
Self-supervised Neural Articulated Shape and Appearance Models Fangyin Wei Rohan Chabra Lingni Ma Christoph Lassner Michael Zollhofer Szymon Rusinkiewicz Chris Sweeney Richard A. Newcombe Miroslava Slavcheva SSL 60 37 0 17 May 2022
Topologically-Aware Deformation Fields for Single-View 3D Reconstruction Shivam Duggal Deepak Pathak 3DPC 50 40 0 12 May 2022
Exploring Differential Geometry in Neural Implicits Tiago Novello Guilherme Gonçalves Schardong L. Schirmer V. Silva Helio Lopes Luiz Velho 55 26 0 23 Jan 2022
Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations Wolfgang Stammer Marius Memmel P. Schramowski Kristian Kersting 76 25 0 04 Dec 2021
GAN-Control: Explicitly Controllable GANs Alon Shoshan Nadav Bhonker Igor Kviatkovsky Gérard Medioni CVBM 140 134 0 07 Jan 2021
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 164 1,926 0 24 Oct 2016