Fetching the paper…
Reading the bibliography…
We present a technique for automatically producing a deformation of an input triangle mesh, guided solely by a text prompt.
Cross-Parameterization and Compatible Remeshing of 3D Models. In ACM Transactions on Graphics (Proc. SIGGRAPH)
Vladislav Kraevoy and Alla Sheffer. 2004 · 2004
Earlier work this paper cites.
Laplacian Surface Editing. In Proceedings of the EUROGRAPHICS/ACM SIGGRAPH Symposium on Geometry Processing . ACM Press, 179–188
Olga Sorkine, Daniel Cohen-Or, Yaron Lipman, Marc Alexa, Christian Rössl, and Hans-Peter Seidel. 2004 · 2004
Earlier work this paper cites.
As-Rigid-As-Possible Surface Modeling. In Proceedings of EUROGRAPHICS/ACM SIGGRAPH Symposium on Geometry Processing . 109–116
Olga Sorkine and Marc Alexa. 2007 · 2007
Earlier work this paper cites.
iWIRES: An Analyze-and-Edit Approach to Shape Manipulation
Ran Gal, Olga Sorkine, Niloy J. Mitra, and Daniel Cohen-Or. 2009 · 2009
Earlier work this paper cites.
Algorithms and Interfaces for Real-Time Deformation of 2D and 3D Shapes. In PhD Thesis, ETH Zurich
Alec Jacobson. 2013 · 2013
Earlier work this paper cites.
Skinning: Real-time Shape Deformation. In ACM SIGGRAPH 2014 Courses
Alec Jacobson, Zhigang Deng, Ladislav Kavan, and JP Lewis. 2014 · 2014
Earlier work this paper cites.
Learning an Inverse Rig Mapping for Character Animation. In Proceedings of the 14th ACM SIGGRAPH / Eurographics Symposium on Computer Animation (SCA ’15) . Association for Computing Machinery, New York, NY, USA, 165–173
Daniel Holden, Jun Saito, and Taku Komura. 2015 · 2015
Earlier work this paper cites.
Semantic shape editing using deformation handles
Mehmet Ersin Yumer, Siddhartha Chaudhuri, Jessica K Hodgins, and Levent Burak Kara. 2015 · 2015
Earlier work this paper cites.
Fast and Deep Deformation Approximations
Stephen W. Bailey, Dave Otte, Paul Dilorenzo, and James F. O’Brien. 2018 · 2018
Earlier work this paper cites.
Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddings
Kevin Chen, Christopher B Choy, Manolis Savva, Angel X Chang, Thomas Funkhouser, and Silvio Savarese. 2018 · 2018
Earlier work this paper cites.
Automatic Unpaired Shape Deformation Transfer
Lin Gao, Jie Yang, Yi-Ling Qiao, Yu-Kun Lai, Paul L Rosin, Weiwei Xu, and Shihong Xia. 2018 · 2018
Earlier work this paper cites.
ALIGNet: partial-shape agnostic alignment via unsupervised learning
Rana Hanocka, Noa Fish, Zhenhua Wang, Raja Giryes, Shachar Fleishman, and Daniel Cohen-Or. 2018 · 2018
Earlier work this paper cites.
Learning Category-Specific Mesh Reconstruction from Image Collections. In ECCV
Angjoo Kanazawa, Shubham Tulsiani, Alexei A. Efros, and Jitendra Malik. 2018 · 2018
Earlier work this paper cites.
Variational Autoencoders for Deforming 3D Mesh Models. In CVPR
Qingyang Tan, Lin Gao, Yu-Kun Lai, and Shihong Xia. 2018 · 2018
Earlier work this paper cites.
Latent-space Dynamics for Reduced Deformable Simulation
Lawson Fulton, Vismay Modi, David Duvenaud, David I. W. Levin, and Alec Jacobson. 2019 · 2019
Earlier work this paper cites.
Predicting Animation Skeletons for 3D Articulated Models via Volumetric Nets. In 2019 International Conference on 3D Vision (3DV)
Zhan Xu, Yang Zhou, Evangelos Kalogerakis, and Karan Singh. 2019 · 2019
Earlier work this paper cites.
Fast and deep facial deformations
Stephen W Bailey, Dalton Omens, Paul Dilorenzo, and James F O’Brien. 2020 · 2020
Earlier work this paper cites.
KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Tomas Jakab, Richard Tucker, Ameesh Makadia, Jiajun Wu, Noah Snavely, and Angjoo Kanazawa. 2020 · 2020
Cited alongside, same era.
Modular Primitives for High-Performance Differentiable Rendering
Samuli Laine, Janne Hellsten, Tero Karras, Yeongho Seol, Jaakko Lehtinen, and Timo Aila. 2020 · 2020
Cited alongside, same era.
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis. In ECCV
Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, and Ren Ng. 2020 · 2020
Cited alongside, same era.
RigNet: Neural Rigging for Articulated Characters
Zhan Xu, Yang Zhou, Evangelos Kalogerakis, Chris Landreth, and Karan Singh. 2020 · 2020
Cited alongside, same era.
Neural Cages for Detail-Preserving 3D Deformations. In CVPR
Wang Yifan, Noam Aigerman, Vladimir G. Kim, Siddhartha Chaudhuri, and Olga Sorkine-Hornung. 2020 · 2020
Cited alongside, same era.
Neural Jacobian Fields: Learning Intrinsic Mappings of Arbitrary Meshes
Noam Aigerman, Kunal Gupta, Vladimir G. Kim, Siddhartha Chaudhuri, Jun Saito, and Thibault Groueix. 2022 · 2022
Later among the works it cites.
Deep ViT Features as Dense Visual Descriptors
Shir Amir, Yossi Gandelsman, Shai Bagon, and Tali Dekel. 2022 · 2022
Later among the works it cites.
Objaverse: A Universe of Annotated 3D Objects
Matt Deitke, Dustin Schwenk, Jordi Salvador, Luca Weihs, Oscar Michel, Eli VanderBilt, Ludwig Schmidt, Kiana Ehsani, Aniruddha Kembhavi, and Ali Farhadi. 2022 · 2022
Later among the works it cites.
CLIP-Mesh: Generating textured meshes from text using pretrained image-text models
Nasir Mohammad Khalid, Tianhao Xie, Eugene Belilovsky, and Popa Tiberiu. 2022 · 2022
Later among the works it cites.
DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) . 2426–2435
Gwanghyun Kim, Taesung Kwon, and Jong Chul Ye. 2022 · 2022
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Zero-Shot Text-Guided Object Generation with Dream Fields
Ajay Jain, Ben Mildenhall, Jonathan T. Barron, Pieter Abbeel, and Ben Poole. 2021 · 2021
Cited alongside, same era.
Learning Skeletal Articulations with Neural Blend Shapes
Peizhuo Li, Kfir Aberman, Rana Hanocka, Libin Liu, Olga Sorkine-Hornung, and Baoquan Chen. 2021 · 2021
Cited alongside, same era.
DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 12–21
Minghua Liu, Minhyuk Sung, Radomir Mech, and Hao Su. 2021 · 2021
Cited alongside, same era.
Text2Mesh: Text-Driven Neural Stylization for Meshes
Oscar Michel, Roi Bar-On, Richard Liu, Sagie Benaim, and Rana Hanocka. 2021 · 2021
Cited alongside, same era.
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
Alex Nichol, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam, Pamela Mishkin, Bob McGrew, Ilya Sutskever, and Mark Chen. 2021 · 2021
Cited alongside, same era.
Learning transferable visual models from natural language supervision. In International Conference on Machine Learning . PMLR, 8748–8763
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
Cited alongside, same era.
Learning Contact Corrections for Handle-Based Subspace Dynamics
Cristian Romero, Dan Casas, Jesus Perez, and Miguel A. Otaduy. 2021 · 2021
Cited alongside, same era.
Later among the works it cites.
Magic3D: High-Resolution Text-to-3D Content Creation
Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, and Tsung-Yi Lin. 2022 · 2022
Later among the works it cites.
Point-E: A System for Generating 3D Point Clouds from Complex Prompts
Alex Nichol, Heewoo Jun, Prafulla Dhariwal, Pamela Mishkin, and Mark Chen. 2022 · 2022
Later among the works it cites.
DreamFusion: Text-to-3D using 2D Diffusion
Ben Poole, Ajay Jain, Jonathan T. Barron, and Ben Mildenhall. 2022 · 2022
Later among the works it cites.
Hierarchical Text-Conditional Image Generation with CLIP Latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen. 2022 · 2022
Later among the works it cites.
High-Resolution Image Synthesis With Latent Diffusion Models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) . 10684–10695
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer. 2022 · 2022
Later among the works it cites.
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily Denton, Seyed Kamyar Seyed Ghasemipour, Burcu Karagol Ayan, S Sara Mahdavi, Rapha Gontijo Lopes, et al · 2022
Later among the works it cites.
Laion-5b: An open large-scale dataset for training next generation image-text models
Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade Gordon, Ross Wightman, Mehdi Cherti, Theo Coombes, Aarush Katta, Clayton Mullis, Mitchell Wortsman, et al · 2022
Later among the works it cites.
NeuralMLS: Geometry-Aware Control Point Deformation
Meitar Shechter, Rana Hanocka, Gal Metzer, Raja Giryes, and Daniel Cohen-Or. 2022 · 2022
Later among the works it cites.
Stable-dreamfusion: Text-to-3D with Stable-diffusion
Jiaxiang Tang. 2022 · 2022
Later among the works it cites.
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation
Haochen Wang, Xiaodan Du, Jiahao Li, Raymond A. Yeh, and Greg Shakhnarovich. 2022 · 2022
Later among the works it cites.
StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) . 2085–2094
Or Patashnik, Zongze Wu, Eli Shechtman, Daniel Cohen-Or, and Dani Lischinski. 2021 · 2094
Closest in time.