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Exploring 3D-aware Latent Spaces for Efficiently Learning Numerous
  Scenes

Exploring 3D-aware Latent Spaces for Efficiently Learning Numerous Scenes

18 March 2024
Antoine Schnepf
Karim Kassab
Jean-Yves Franceschi
Laurent Caraffa
Flavian Vasile
Jeremie Mary
Andrew Comport
Valérie Gouet-Brunet
    BDL
ArXivPDFHTML

Papers citing "Exploring 3D-aware Latent Spaces for Efficiently Learning Numerous Scenes"

5 / 5 papers shown
Title
FeatureNeRF: Learning Generalizable NeRFs by Distilling Foundation
  Models
FeatureNeRF: Learning Generalizable NeRFs by Distilling Foundation Models
Jianglong Ye
Naiyan Wang
X. Wang
DiffM
38
41
0
22 Mar 2023
CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory
CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory
Nur Muhammad (Mahi) Shafiullah
Chris Paxton
Lerrel Pinto
Soumith Chintala
Arthur Szlam
VLM
LM&Ro
CLIP
90
156
0
11 Oct 2022
Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D
  Image Representations
Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations
Vadim Tschernezki
Iro Laina
Diane Larlus
Andrea Vedaldi
173
184
0
07 Sep 2022
Decomposing NeRF for Editing via Feature Field Distillation
Decomposing NeRF for Editing via Feature Field Distillation
Sosuke Kobayashi
Eiichi Matsumoto
Vincent Sitzmann
170
327
0
31 May 2022
From data to functa: Your data point is a function and you can treat it
  like one
From data to functa: Your data point is a function and you can treat it like one
Emilien Dupont
Hyunjik Kim
S. M. Ali Eslami
Danilo Jimenez Rezende
Dan Rosenbaum
TDI
3DPC
165
139
0
28 Jan 2022
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