GOEmbed: Gradient Origin Embeddings for Representation Agnostic 3D
Feature Learning

GOEmbed: Gradient Origin Embeddings for Representation Agnostic 3D Feature Learning

14 December 2023

Animesh Karnewar

Roman Shapovalov

Andrea Vedaldi

Niloy J. Mitra

Papers citing "GOEmbed: Gradient Origin Embeddings for Representation Agnostic 3D Feature Learning"

5 / 5 papers shown

Title
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data Lihe Yang Bingyi Kang Zilong Huang Xiaogang Xu Jiashi Feng Hengshuang Zhao VLM 133 681 0 19 Jan 2024
3DGen: Triplane Latent Diffusion for Textured Mesh Generation Anchit Gupta Wenhan Xiong Yixin Nie Anchit Gupta Barlas Oğuz DiffM 89 156 0 09 Mar 2023
ReLU Fields: The Little Non-linearity That Could Animesh Karnewar Tobias Ritschel Oliver Wang Niloy J. Mitra 126 100 0 22 May 2022
Neural Sparse Voxel Fields Lingjie Liu Jiatao Gu Kyaw Zaw Lin Tat-Seng Chua Christian Theobalt 177 1,234 0 22 Jul 2020
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 161 1,926 0 24 Oct 2016