ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2406.04254
  4. Cited By
GeoGen: Geometry-Aware Generative Modeling via Signed Distance Functions

GeoGen: Geometry-Aware Generative Modeling via Signed Distance Functions

6 June 2024
Salvatore Esposito
Qingshan Xu
Kacper Kania
Charlie Hewitt
Octave Mariotti
Lohit Petikam
Julien P. C. Valentin
A. Onken
Oisin Mac Aodha
    3DH
ArXivPDFHTML

Papers citing "GeoGen: Geometry-Aware Generative Modeling via Signed Distance Functions"

3 / 3 papers shown
Title
PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360$^{\circ}$
PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360∘^{\circ}∘
Sizhe An
Hongyi Xu
Yichun Shi
Guoxian Song
Ümit Y. Ogras
Linjie Luo
3DH
54
75
0
23 Mar 2023
Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for
  Multi-view Reconstruction
Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstruction
Qiancheng Fu
Qingshan Xu
Yew-Soon Ong
Wenbing Tao
3DV
73
202
0
31 May 2022
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
262
10,183
0
12 Dec 2018
1