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GeoBiked: A Dataset with Geometric Features and Automated Labeling Techniques to Enable Deep Generative Models in Engineering Design
v1v2 (latest)

GeoBiked: A Dataset with Geometric Features and Automated Labeling Techniques to Enable Deep Generative Models in Engineering Design

25 September 2024
Phillip Mueller
Sebastian Mueller
Lars Mikelsons
ArXiv (abs)PDFHTML

Papers citing "GeoBiked: A Dataset with Geometric Features and Automated Labeling Techniques to Enable Deep Generative Models in Engineering Design"

48 / 48 papers shown
Title
Masked Conditioning for Deep Generative Models
Masked Conditioning for Deep Generative Models
Phillip Mueller
Jannik Wiese
Sebastian Mueller
Lars Mikelsons
DiffMSyDaAI4CE
61
0
0
22 May 2025
MeshFleet: Filtered and Annotated 3D Vehicle Dataset for Domain Specific Generative Modeling
MeshFleet: Filtered and Annotated 3D Vehicle Dataset for Domain Specific Generative Modeling
Damian Boborzi
Phillip Mueller
Jonas Emrich
Dominik Schmid
Sebastian Mueller
Lars Mikelsons
DiffM
119
0
0
18 Mar 2025
InsertDiffusion: Identity Preserving Visualization of Objects through a
  Training-Free Diffusion Architecture
InsertDiffusion: Identity Preserving Visualization of Objects through a Training-Free Diffusion Architecture
Phillip Mueller
Jannik Wiese
Ioan Crăciun
Lars Mikelsons
83
4
0
15 Jul 2024
Exploring the Potentials and Challenges of Deep Generative Models in Product Design Conception
Exploring the Potentials and Challenges of Deep Generative Models in Product Design Conception
Phillip Mueller
Lars Mikelsons
AI4CE
120
3
0
15 Jul 2024
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models
Amirmojtaba Sabour
Sanja Fidler
Karsten Kreis
DiffM
96
37
0
22 Apr 2024
Assessing GPT4-V on Structured Reasoning Tasks
Assessing GPT4-V on Structured Reasoning Tasks
Mukul Singh
J. Cambronero
Sumit Gulwani
Vu Le
Gust Verbruggen
LRM
73
13
0
13 Dec 2023
Readout Guidance: Learning Control from Diffusion Features
Readout Guidance: Learning Control from Diffusion Features
Grace Luo
Trevor Darrell
Oliver Wang
Dan B. Goldman
Aleksander Holynski
99
27
0
04 Dec 2023
DreamSync: Aligning Text-to-Image Generation with Image Understanding
  Feedback
DreamSync: Aligning Text-to-Image Generation with Image Understanding Feedback
Jiao Sun
Deqing Fu
Yushi Hu
Su Wang
Royi Rassin
...
Dana Alon
Charles Herrmann
Sjoerd van Steenkiste
Ranjay Krishna
Cyrus Rashtchian
EGVM
97
43
0
29 Nov 2023
On the Noise Scheduling for Generating Plausible Designs with Diffusion
  Models
On the Noise Scheduling for Generating Plausible Designs with Diffusion Models
Jiajie Fan
L. Vuaille
Thomas Bäck
Hao Wang
DiffM
64
7
0
19 Nov 2023
A Survey on Hallucination in Large Language Models: Principles,
  Taxonomy, Challenges, and Open Questions
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
Lei Huang
Weijiang Yu
Weitao Ma
Weihong Zhong
Zhangyin Feng
...
Qianglong Chen
Weihua Peng
Xiaocheng Feng
Bing Qin
Ting Liu
LRMHILM
142
937
0
09 Nov 2023
Grounded Intuition of GPT-Vision's Abilities with Scientific Images
Grounded Intuition of GPT-Vision's Abilities with Scientific Images
Alyssa Hwang
Andrew Head
Chris Callison-Burch
83
5
0
03 Nov 2023
State of the Art on Diffusion Models for Visual Computing
State of the Art on Diffusion Models for Visual Computing
Ryan Po
Wang Yifan
Vladislav Golyanik
Kfir Aberman
Jonathan T. Barron
...
Matthias Nießner
Bjorn Ommer
Christian Theobalt
Peter Wonka
Gordon Wetzstein
130
111
0
11 Oct 2023
Mistral 7B
Mistral 7B
Albert Q. Jiang
Alexandre Sablayrolles
A. Mensch
Chris Bamford
Devendra Singh Chaplot
...
Teven Le Scao
Thibaut Lavril
Thomas Wang
Timothée Lacroix
William El Sayed
MoELRM
157
2,263
0
10 Oct 2023
Improved Baselines with Visual Instruction Tuning
Improved Baselines with Visual Instruction Tuning
Haotian Liu
Chunyuan Li
Yuheng Li
Yong Jae Lee
VLMMLLM
240
2,830
0
05 Oct 2023
DSPy: Compiling Declarative Language Model Calls into Self-Improving
  Pipelines
DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
Omar Khattab
Arnav Singhvi
Paridhi Maheshwari
Zhiyuan Zhang
Keshav Santhanam
...
Thomas T. Joshi
Hanna Moazam
Heather Miller
Matei A. Zaharia
Christopher Potts
RALM
106
283
0
05 Oct 2023
VisIT-Bench: A Benchmark for Vision-Language Instruction Following
  Inspired by Real-World Use
VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use
Yonatan Bitton
Hritik Bansal
Jack Hessel
Rulin Shao
Wanrong Zhu
Anas Awadalla
Josh Gardner
Rohan Taori
L. Schimdt
VLM
129
82
0
12 Aug 2023
Adversarial Latent Autoencoder with Self-Attention for Structural Image
  Synthesis
Adversarial Latent Autoencoder with Self-Attention for Structural Image Synthesis
Jiajie Fan
L. Vuaille
Hongya Wang
Thomas Bäck
AI4CE
66
6
0
19 Jul 2023
Emergent Correspondence from Image Diffusion
Emergent Correspondence from Image Diffusion
Luming Tang
Menglin Jia
Qianqian Wang
Cheng Perng Phoo
Bharath Hariharan
118
270
0
06 Jun 2023
Diffusion Hyperfeatures: Searching Through Time and Space for Semantic
  Correspondence
Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence
Grace Luo
Lisa Dunlap
Dong Huk Park
Aleksander Holynski
Trevor Darrell
133
136
0
23 May 2023
Visual Instruction Tuning
Visual Instruction Tuning
Haotian Liu
Chunyuan Li
Qingyang Wu
Yong Jae Lee
SyDaVLMMLLM
582
4,946
0
17 Apr 2023
DINOv2: Learning Robust Visual Features without Supervision
DINOv2: Learning Robust Visual Features without Supervision
Maxime Oquab
Timothée Darcet
Théo Moutakanni
Huy Q. Vo
Marc Szafraniec
...
Hervé Jégou
Julien Mairal
Patrick Labatut
Armand Joulin
Piotr Bojanowski
VLMCLIPSSL
533
3,535
0
14 Apr 2023
Adding Conditional Control to Text-to-Image Diffusion Models
Adding Conditional Control to Text-to-Image Diffusion Models
Lvmin Zhang
Anyi Rao
Maneesh Agrawala
AI4CE
300
4,198
1
10 Feb 2023
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative
  Models in Engineering Design
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design
Lyle Regenwetter
Akash Srivastava
Dan Gutfreund
Faez Ahmed
109
30
0
06 Feb 2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image
  Encoders and Large Language Models
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Junnan Li
Dongxu Li
Silvio Savarese
Steven C. H. Hoi
VLMMLLM
528
4,670
0
30 Jan 2023
Paint by Example: Exemplar-based Image Editing with Diffusion Models
Paint by Example: Exemplar-based Image Editing with Diffusion Models
Binxin Yang
Shuyang Gu
Bo Zhang
Ting Zhang
Xuejin Chen
Xiaoyan Sun
Dong Chen
Fang Wen
DiffM
103
427
0
23 Nov 2022
Plug-and-Play Diffusion Features for Text-Driven Image-to-Image
  Translation
Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation
Narek Tumanyan
Michal Geyer
Shai Bagon
Tali Dekel
143
686
0
22 Nov 2022
InstructPix2Pix: Learning to Follow Image Editing Instructions
InstructPix2Pix: Learning to Follow Image Editing Instructions
Tim Brooks
Aleksander Holynski
Alexei A. Efros
DiffM
283
1,842
0
17 Nov 2022
LAION-5B: An open large-scale dataset for training next generation
  image-text models
LAION-5B: An open large-scale dataset for training next generation image-text models
Christoph Schuhmann
Romain Beaumont
Richard Vencu
Cade Gordon
Ross Wightman
...
Srivatsa Kundurthy
Katherine Crowson
Ludwig Schmidt
R. Kaczmarczyk
J. Jitsev
VLMMLLMCLIP
231
3,521
0
16 Oct 2022
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for
  Subject-Driven Generation
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
Nataniel Ruiz
Yuanzhen Li
Varun Jampani
Yael Pritch
Michael Rubinstein
Kfir Aberman
386
2,908
0
25 Aug 2022
Photorealistic Text-to-Image Diffusion Models with Deep Language
  Understanding
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
Chitwan Saharia
William Chan
Saurabh Saxena
Lala Li
Jay Whang
...
Raphael Gontijo-Lopes
Tim Salimans
Jonathan Ho
David J Fleet
Mohammad Norouzi
VLM
609
6,106
0
23 May 2022
Zero-Shot Category-Level Object Pose Estimation
Zero-Shot Category-Level Object Pose Estimation
Walter Goodwin
S. Vaze
Ioannis Havoutis
Ingmar Posner
ViT
82
58
0
07 Apr 2022
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
3DV
606
15,854
0
20 Dec 2021
Deep ViT Features as Dense Visual Descriptors
Deep ViT Features as Dense Visual Descriptors
Shirzad Amir
Yossi Gandelsman
Shai Bagon
Tali Dekel
MDEViT
161
291
0
10 Dec 2021
ClipCap: CLIP Prefix for Image Captioning
ClipCap: CLIP Prefix for Image Captioning
Ron Mokady
Amir Hertz
Amit H. Bermano
CLIPVLM
81
683
0
18 Nov 2021
Palette: Image-to-Image Diffusion Models
Palette: Image-to-Image Diffusion Models
Chitwan Saharia
William Chan
Huiwen Chang
Chris A. Lee
Jonathan Ho
Tim Salimans
David J. Fleet
Mohammad Norouzi
DiffMVLM
493
1,668
0
10 Nov 2021
Deep Generative Models in Engineering Design: A Review
Deep Generative Models in Engineering Design: A Review
Lyle Regenwetter
Amin Heyrani Nobari
Faez Ahmed
3DVAI4CE
136
192
0
21 Oct 2021
iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis
iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis
A. Blattmann
Timo Milbich
Michael Dorkenwald
Bjorn Ommer
DiffMVGen
73
42
0
06 Jul 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
944
6,153
0
29 Apr 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIPVLM
1.1K
30,092
0
26 Feb 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
430
5,018
0
24 Feb 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
764
41,877
0
22 Oct 2020
Denoising Diffusion Implicit Models
Denoising Diffusion Implicit Models
Jiaming Song
Chenlin Meng
Stefano Ermon
VLMDiffM
334
7,531
0
06 Oct 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
1.0K
18,531
0
19 Jun 2020
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
772
10,591
0
17 Feb 2020
Unified Vision-Language Pre-Training for Image Captioning and VQA
Unified Vision-Language Pre-Training for Image Captioning and VQA
Luowei Zhou
Hamid Palangi
Lei Zhang
Houdong Hu
Jason J. Corso
Jianfeng Gao
MLLMVLM
363
948
0
24 Sep 2019
VisualBERT: A Simple and Performant Baseline for Vision and Language
VisualBERT: A Simple and Performant Baseline for Vision and Language
Liunian Harold Li
Mark Yatskar
Da Yin
Cho-Jui Hsieh
Kai-Wei Chang
VLM
252
1,975
0
09 Aug 2019
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
451
27,355
0
20 Mar 2017
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
546
43,783
0
17 Sep 2014
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