Fetching the paper…
Reading the bibliography…
Computer Aided Design (CAD) engineers typically do not achieve their best prototypes in a single attempt.
The architecture of complexity
Herbert A Simon · 1962
Earlier work this paper cites.
Ten cad challenges
David J Kasik, William Buxton, and David R Ferguson · 2005
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
3d shape segmentation with projective convolutional networks
Evangelos Kalogerakis, Melinos Averkiou, Subhransu Maji, and Siddhartha Chaudhuri · 2017
Earlier work this paper cites.
Assessing the accuracy and precision of imperfect point clouds for 3d indoor mapping and modeling
J Chen, OE Mora, and KC Clarke · 2018
Earlier work this paper cites.
A probe towards understanding gan and vae models. arxiv 2018
L Mi, M Shen, and J Zhang · 2018
Earlier work this paper cites.
Adaptive input representations for neural language modeling
Alexei Baevski and Michael Auli · 2018
Earlier work this paper cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
Earlier work this paper cites.
Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, Ilya Sutskever, et al · 2018
Earlier work this paper cites.
Meshnet: Mesh neural network for 3d shape representation
Yutong Feng, Yifan Feng, Haoxuan You, Xibin Zhao, and Yue Gao · 2019
Earlier work this paper cites.
Leveraging 2d data to learn textured 3d mesh generation
Paul Henderson, Vagia Tsiminaki, and Christoph H Lampert · 2020
Earlier work this paper cites.
Learning single-image 3d reconstruction by generative modelling of shape, pose and shading
Paul Henderson and Vittorio Ferrari · 2020
Earlier work this paper cites.
Blockgan: Learning 3d object-aware scene representations from unlabelled images
Thu H Nguyen-Phuoc, Christian Richardt, Long Mai, Yongliang Yang, and Niloy Mitra · 2020
Cited alongside, same era.
Gector–grammatical error correction: tag, not rewrite
Kostiantyn Omelianchuk, Vitaliy Atrasevych, Artem Chernodub, and Oleksandr Skurzhanskyi · 2020
Cited alongside, same era.
Think about it! improving defeasible reasoning by first modeling the question scenario
Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Peter Clark, Yiming Yang, and Eduard Hovy · 2021
Cited alongside, same era.
Get3d: A generative model of high quality 3d textured shapes learned from images
Jun Gao, Tianchang Shen, Zian Wang, Wenzheng Chen, Kangxue Yin, Daiqing Li, Or Litany, Zan Gojcic, and Sanja Fidler · 2022
Cited alongside, same era.
Chatgpt: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope
Partha Pratim Ray · 2023
Later among the works it cites.
Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
Later among the works it cites.
Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models
Junnan Li, Dongxu Li, Silvio Savarese, and Steven Hoi · 2023
Later among the works it cites.
Code llama: Open foundation models for code
Baptiste Roziere, Jonas Gehring, Fabian Gloeckle, Sten Sootla, Itai Gat, Xiaoqing Ellen Tan, Yossi Adi, Jingyu Liu, Tal Remez, Jérémy Rapin, et al · 2023
Later among the works it cites.
Survey of hallucination in natural language generation
Ziwei Ji, Nayeon Lee, Rita Frieske, Tiezheng Yu, Dan Su, Yan Xu, Etsuko Ishii, Ye Jin Bang, Andrea Madotto, and Pascale Fung · 2023
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cristian Sbrolli, Paolo Cudrano, Matteo Frosi, and Matteo Matteucci · 2022
Cited alongside, same era.
Training language models to follow instructions with human feedback, 2022
Long Ouyang, Jeff Wu, Xu Jiang, Diogo Almeida, Carroll L Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al · 2022
Cited alongside, same era.
Pc2: Projection-conditioned point cloud diffusion for single-image 3d reconstruction
Luke Melas-Kyriazi, Christian Rupprecht, and Andrea Vedaldi · 2023
Cited alongside, same era.
Addressing gan training instabilities via tunable classification losses
Monica Welfert, Gowtham R Kurri, Kyle Otstot, and Lalitha Sankar · 2023
Cited alongside, same era.
Conceptual design generation using large language models
Kevin Ma, Daniele Grandi, Christopher McComb, and Kosa Goucher-Lambert · 2023
Cited alongside, same era.
3dall-e: Integrating text-to-image ai in 3d design workflows
Vivian Liu, Jo Vermeulen, George Fitzmaurice, and Justin Matejka · 2023
Cited alongside, same era.
Lifelong robot learning with human assisted language planners
Meenal Parakh, Alisha Fong, Anthony Simeonov, Tao Chen, Abhishek Gupta, and Pulkit Agrawal · 2023
Cited alongside, same era.
Liangming Pan, Michael Saxon, Wenda Xu, Deepak Nathani, Xinyi Wang, and William Yang Wang · 2023
Cited alongside, same era.
Later among the works it cites.
Jiale Xu, Weihao Cheng, Yiming Gao, Xintao Wang, Shenghua Gao, and Ying Shan · 2024
Closest in time.
Evaluating text-to-visual generation with image-to-text generation
Zhiqiu Lin, Deepak Pathak, Baiqi Li, Jiayao Li, Xide Xia, Graham Neubig, Pengchuan Zhang, and Deva Ramanan · 2024
Closest in time.
Sketch2prototype: rapid conceptual design exploration and prototyping with generative ai
Kristen M Edwards, Brandon Man, and Faez Ahmed · 2024
Closest in time.
Self-refine: Iterative refinement with self-feedback
Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao, Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang, et al · 2024
Closest in time.
https://github.com/FreeCAD
FreeCAD — github.com · 2024
Closest in time.
https://github.com/asweigart/pyautogui.git
GitHub - asweigart/pyautogui: A cross-platform GUI automation Python module for human beings. Used to programmatically control the mouse & keyboard. — github.com · 2024
Closest in time.