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2006.04604
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SoftFlow: Probabilistic Framework for Normalizing Flow on Manifolds
8 June 2020
Hyeongju Kim
Hyeonseung Lee
Woohyun Kang
Joun Yeop Lee
N. Kim
3DPC
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Papers citing
"SoftFlow: Probabilistic Framework for Normalizing Flow on Manifolds"
50 / 87 papers shown
MFM-point: Multi-scale Flow Matching for Point Cloud Generation
Petr Molodyk
Jaemoo Choi
David W. Romero
Ming-Yu Liu
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267
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25 Nov 2025
Range-Edit: Semantic Mask Guided Outdoor LiDAR Scene Editing
Suchetan G. Uppur
Hemant Kumar
Vaibhav Kumar
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218
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0
21 Nov 2025
Rethinking Metrics and Diffusion Architecture for 3D Point Cloud Generation
Matteo Bastico
David Ryckelynck
Laurent Corté
Yannick Tillier
Etienne Decencière
425
2
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07 Nov 2025
Efficient Conditional Generation on Scale-based Visual Autoregressive Models
Jiaqi Liu
Tao Huang
Chang Xu
DiffM
246
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0
07 Oct 2025
Guided and Unguided Conditional Diffusion Mechanisms for Structured and Semantically-Aware 3D Point Cloud Generation
Gunner Stone
Sushmita Sarker
Alireza Tavakkoli
DiffM
148
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0
21 Sep 2025
Unifi3D: A Study on 3D Representations for Generation and Reconstruction in a Common Framework
Nina Wiedemann
Sainan Liu
Quentin Leboutet
Katelyn Gao
Benjamin Ummenhofer
Michael Paulitsch
Kai Yuan
230
0
0
02 Sep 2025
A Continuous-Time Consistency Model for 3D Point Cloud Generation
Sebastian Eilermann
Rene Heesch
Oliver Niggemann
3DPC
226
2
0
01 Sep 2025
On Convolutions, Intrinsic Dimension, and Diffusion Models
Kin Kwan Leung
Rasa Hosseinzadeh
Gabriel Loaiza-Ganem
DiffM
196
0
0
25 Jun 2025
TopoDiT-3D: Topology-Aware Diffusion Transformer with Bottleneck Structure for 3D Point Cloud Generation
Zechao Guan
Feng Yan
Shuai Du
Lin Ma
Qingshan Liu
145
1
0
14 May 2025
GrabS: Generative Embodied Agent for 3D Object Segmentation without Scene Supervision
International Conference on Learning Representations (ICLR), 2025
Zihui Zhang
Yafei Yang
Hongtao Wen
Bo Yang
3DPC
411
0
0
16 Apr 2025
Noise Augmented Fine Tuning for Mitigating Hallucinations in Large Language Models
Afshin Khadangi
Amir Sartipi
Xiaohui Wu
Ramin Bahmani
490
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04 Apr 2025
TFDM: Time-Variant Frequency-Based Point Cloud Diffusion with Mamba
Jiaxu Liu
Li Li
Hubert P. H. Shum
T. Breckon
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241
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17 Mar 2025
NF-SLAM: Effective, Normalizing Flow-supported Neural Field representations for object-level visual SLAM in automotive applications
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024
Li Cui
Yang Ding
Richard Hartley
Zirui Xie
L. Kneip
Zhenghua Yu
386
0
0
14 Mar 2025
PointNSP: Autoregressive 3D Point Cloud Generation with Next-Scale Level-of-Detail Prediction
Ziqiao Meng
Qichao Wang
Zhipeng Zhou
Irwin King
Peilin Zhao
Irwin King
P. Zhao
3DPC
396
2
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11 Mar 2025
Representing 3D Shapes With 64 Latent Vectors for 3D Diffusion Models
I. Cho
Youngbeom Yoo
Subin Jeon
Seon Joo Kim
DiffM
433
4
0
11 Mar 2025
Wasserstein Flow Matching: Generative modeling over families of distributions
Doron Haviv
Aram-Alexandre Pooladian
Dana Peér
Brandon Amos
OOD
534
22
0
01 Nov 2024
GenUDC: High Quality 3D Mesh Generation with Unsigned Dual Contouring Representation
ACM Multimedia (MM), 2024
Ruowei Wang
Jiaqi Li
Dan Zeng
Xueqi Ma
Zixiang Xu
Jianwei Zhang
Qijun Zhao
296
2
0
23 Oct 2024
Jigsaw++: Imagining Complete Shape Priors for Object Reassembly
Jiaxin Lu
Gang Hua
Qixing Huang
307
5
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15 Oct 2024
Gen-Swarms: Adapting Deep Generative Models to Swarms of Drones
Carlos Plou
Pablo Pueyo
Ruben Martinez-Cantin
Mac Schwager
Ana C. Murillo
Eduardo Montijano
500
1
0
28 Aug 2024
ViIK: Flow-based Vision Inverse Kinematics Solver with Fusing Collision Checking
Qinglong Meng
Chongkun Xia
Xueqian Wang
252
0
0
21 Aug 2024
Efficient and Scalable Point Cloud Generation with Sparse Point-Voxel Diffusion Models
Ioannis Romanelis
Vlassios Fotis
Athanasios P. Kalogeras
Christos Alexakos
Konstantinos Moustakas
Adrian Munteanu
231
6
0
12 Aug 2024
VeriFlow: Modeling Distributions for Neural Network Verification
Faried Abu Zaid
Daniel Neider
Mustafa Yalçıner
580
1
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20 Jun 2024
Efficient 3D Shape Generation via Diffusion Mamba with Bidirectional SSMs
Shentong Mo
Mamba
276
8
0
07 Jun 2024
PointInfinity: Resolution-Invariant Point Diffusion Models
Computer Vision and Pattern Recognition (CVPR), 2024
Zixuan Huang
Justin Johnson
Shoubhik Debnath
James M. Rehg
Chao-Yuan Wu
242
12
0
04 Apr 2024
Enhancing Diffusion-based Point Cloud Generation with Smoothness Constraint
Yukun Li
Liping Liu
238
6
0
03 Apr 2024
RangeLDM: Fast Realistic LiDAR Point Cloud Generation
European Conference on Computer Vision (ECCV), 2024
Q. Hu
Zhimin Zhang
Wei Hu
DiffM
352
50
0
15 Mar 2024
PaddingFlow: Improving Normalizing Flows with Padding-Dimensional Noise
Qinglong Meng
Chongkun Xia
Xueqian Wang
305
2
0
13 Mar 2024
epsilon-Mesh Attack: A Surface-based Adversarial Point Cloud Attack for Facial Expression Recognition
Batuhan Cengiz
Mert Gulsen
Y. Sahin
Gözde B. Ünal
3DPC
AAML
250
0
0
11 Mar 2024
Advances in 3D Generation: A Survey
Xiaoyu Li
Tao Gui
Di Kang
Weihao Cheng
Yiming Gao
Jingbo Zhang
Zhihao Liang
Jing Liao
Yan-Pei Cao
Ying Shan
404
82
0
31 Jan 2024
Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation
Philipp Schroppel
Christopher Wewer
J. E. Lenssen
Eddy Ilg
Thomas Brox
324
10
0
21 Dec 2023
FAKEPCD: Fake Point Cloud Detection via Source Attribution
Y. Qu
Zhikun Zhang
Yun Shen
Michael Backes
Yang Zhang
3DPC
228
0
0
18 Dec 2023
Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation
European Conference on Computer Vision (ECCV), 2023
Shentong Mo
Enze Xie
Yue Wu
Junsong Chen
Matthias Nießner
Zhenguo Li
212
10
0
12 Dec 2023
MVDD: Multi-View Depth Diffusion Models
European Conference on Computer Vision (ECCV), 2023
Zhen Wang
Qiangeng Xu
Feitong Tan
Menglei Chai
Shichen Liu
Rohit Pandey
S. Fanello
A. Kadambi
Yinda Zhang
DiffM
385
11
0
08 Dec 2023
FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation
European Conference on Computer Vision (ECCV), 2023
Chenliang Zhou
Fangcheng Zhong
Param Hanji
Zhilin Guo
Kyle Fogarty
Alejandro Sztrajman
Hongyun Gao
Cengiz Öztireli
297
9
0
20 Nov 2023
Quasi-Monte Carlo for 3D Sliced Wasserstein
International Conference on Learning Representations (ICLR), 2023
Khai Nguyen
Nicola Bariletto
Nhat Ho
OT
3DPC
339
24
0
21 Sep 2023
AI-Generated Content (AIGC) for Various Data Modalities: A Survey
ACM Computing Surveys (ACM Comput. Surv.), 2023
Lin Geng Foo
Hossein Rahmani
Jing Liu
980
61
0
27 Aug 2023
Out-of-distribution detection using normalizing flows on the data manifold
S. Razavi
M. Mehmanchi
Reshad Hosseini
Mostafa Tavassolipour
OODD
525
1
0
26 Aug 2023
Sketch and Text Guided Diffusion Model for Colored Point Cloud Generation
IEEE International Conference on Computer Vision (ICCV), 2023
Zijie Wu
Yaonan Wang
Mingtao Feng
He-ping Xie
Lin Wang
DiffM
317
55
0
05 Aug 2023
A Review of Change of Variable Formulas for Generative Modeling
Ullrich Kothe
317
14
0
04 Aug 2023
3D Semantic Subspace Traverser: Empowering 3D Generative Model with Shape Editing Capability
IEEE International Conference on Computer Vision (ICCV), 2023
Ruowei Wang
Yu Liu
Pei Su
Jianwei Zhang
Qijun Zhao
3DV
508
1
0
26 Jul 2023
Patch-Wise Point Cloud Generation: A Divide-and-Conquer Approach
Cheng Wen
Baosheng Yu
Rao Fu
Dacheng Tao
3DPC
230
1
0
22 Jul 2023
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation
Neural Information Processing Systems (NeurIPS), 2023
Shentong Mo
Enze Xie
Ruihang Chu
Lewei Yao
Lanqing Hong
Matthias Nießner
Zhenguo Li
298
125
0
04 Jul 2023
Pushing the Limits of 3D Shape Generation at Scale
Wang Yu
Xuelin Qian
Jingyang Huo
Tiejun Huang
Bo Zhao
Yanwei Fu
335
12
0
20 Jun 2023
DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion
IEEE International Conference on Computer Vision (ICCV), 2023
Kiyohiro Nakayama
Mikaela Angelina Uy
Jiahui Huang
Shihui Hu
Ke Li
Leonidas Guibas
DiffM
359
46
0
03 May 2023
Humans as Light Bulbs: 3D Human Reconstruction from Thermal Reflection
Computer Vision and Pattern Recognition (CVPR), 2023
Ruoshi Liu
Carl Vondrick
3DH
341
15
0
02 May 2023
3DQD: Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process
Computer Vision and Pattern Recognition (CVPR), 2023
Yuhan Li
Yishun Dou
Xuanhong Chen
Bingbing Ni
Yilin Sun
Yutian Liu
Fuzhen Wang
DiffM
261
40
0
18 Mar 2023
Controllable Mesh Generation Through Sparse Latent Point Diffusion Models
Computer Vision and Pattern Recognition (CVPR), 2023
Zhaoyang Lyu
Jinyi Wang
Yuwei An
Ya Zhang
Dahua Lin
Bo Dai
DiffM
304
54
0
14 Mar 2023
GECCO: Geometrically-Conditioned Point Diffusion Models
IEEE International Conference on Computer Vision (ICCV), 2023
M. Tyszkiewicz
Pascal Fua
Eduard Trulls
DiffM
364
28
0
10 Mar 2023
JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Stefan T. Radev
Marvin Schmitt
Valentin Pratz
Umberto Picchini
Ullrich Kothe
Paul-Christian Bürkner
BDL
672
48
0
17 Feb 2023
Neural Wavelet-domain Diffusion for 3D Shape Generation, Inversion, and Manipulation
ACM Transactions on Graphics (TOG), 2023
Jingyu Hu
Ka-Hei Hui
Zhengzhe Liu
Ruihui Li
Chi-Wing Fu
DiffM
249
30
0
01 Feb 2023
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