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DiffSF: Diffusion Models for Scene Flow Estimation

DiffSF: Diffusion Models for Scene Flow Estimation

8 March 2024
Yushan Zhang
Bastian Wandt
Maria Magnusson
Michael Felsberg
    DiffM
ArXivPDFHTML

Papers citing "DiffSF: Diffusion Models for Scene Flow Estimation"

7 / 7 papers shown
Title
Long-Term 3D Point Tracking By Cost Volume Fusion
Long-Term 3D Point Tracking By Cost Volume Fusion
Hung Nguyen
Chanho Kim
Rigved Naukarkar
Fuxin Li
3DPC
30
0
0
18 Jul 2024
Self-Supervised 3D Scene Flow Estimation Guided by Superpoints
Self-Supervised 3D Scene Flow Estimation Guided by Superpoints
Yaqi Shen
Le Hui
Jin Xie
Jian Yang
3DPC
49
28
0
04 May 2023
Label-Efficient Semantic Segmentation with Diffusion Models
Label-Efficient Semantic Segmentation with Diffusion Models
Dmitry Baranchuk
Ivan Rubachev
A. Voynov
Valentin Khrulkov
Artem Babenko
DiffM
VLM
187
508
0
06 Dec 2021
Weakly Supervised Learning of Rigid 3D Scene Flow
Weakly Supervised Learning of Rigid 3D Scene Flow
Zan Gojcic
Or Litany
A. Wieser
Leonidas J. Guibas
Tolga Birdal
3DPC
96
91
0
17 Feb 2021
Learning to Segment Rigid Motions from Two Frames
Learning to Segment Rigid Motions from Two Frames
Gengshan Yang
Deva Ramanan
100
55
0
11 Jan 2021
FLOT: Scene Flow on Point Clouds Guided by Optimal Transport
FLOT: Scene Flow on Point Clouds Guided by Optimal Transport
Gilles Puy
Alexandre Boulch
Renaud Marlet
3DPC
OT
107
161
0
22 Jul 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
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