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Direct mesh editing and deformation are key components in the geometric modeling and animation pipeline.
Mesh-based inverse kinematics
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Deformed implicit field: Modeling 3d shapes with learned dense correspondence. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 10286–10296
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Keypointdeformer: Unsupervised 3d keypoint discovery for shape control. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 12783–12792
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Geometry processing with neural fields
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Mohammadreza Armandpour, Huangjie Zheng, Ali Sadeghian, Amir Sadeghian, and Mingyuan Zhou. 2023 · 2023
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Local Deformation for Interactive Shape Editing
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Textdeformer: Geometry manipulation using text guidance. In ACM SIGGRAPH 2023 Conference Proceedings . 1–11
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Guandao Yang, Serge Belongie, Bharath Hariharan, and Vladlen Koltun. 2021a · 2021
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A revisit of shape editing techniques: From the geometric to the neural viewpoint
Yu-Jie Yuan, Yu-Kun Lai, Tong Wu, Lin Gao, and Ligang Liu. 2021 · 2021
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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
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GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images. In Advances In Neural Information Processing Systems
Jun Gao, Tianchang Shen, Zian Wang, Wenzheng Chen, Kangxue Yin, Daiqing Li, Or Litany, Zan Gojcic, and Sanja Fidler. 2022 · 2022
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Classifier-free diffusion guidance
Jonathan Ho and Tim Salimans. 2022 · 2022
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Clip-mesh: Generating textured meshes from text using pretrained image-text models. In SIGGRAPH Asia 2022 conference papers . 1–8
Nasir Mohammad Khalid, Tianhao Xie, Eugene Belilovsky, and Tiberiu Popa. 2022 · 2022
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Dreamfusion: Text-to-3d using 2d diffusion
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High-resolution image synthesis with latent diffusion models. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition . 10684–10695
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer. 2022 · 2022
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Amir Hertz, Kfir Aberman, and Daniel Cohen-Or. 2023 · 2023
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Local 3D Editing via 3D Distillation of CLIP Knowledge. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 12674–12684
Junha Hyung, Sungwon Hwang, Daejin Kim, Hyunji Lee, and Jaegul Choo. 2023 · 2023
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Scalable 3D Captioning with Pretrained Models
Tiange Luo, Chris Rockwell, Honglak Lee, and Justin Johnson. 2023 · 2023
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SKED: Sketch-guided Text-based 3D Editing
Aryan Mikaeili, Or Perel, Daniel Cohen-Or, and Ali Mahdavi-Amiri. 2023 · 2023
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DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models
Chong Mou, Xintao Wang, Jiechong Song, Ying Shan, and Jian Zhang. 2023 · 2023
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Drag your gan: Interactive point-based manipulation on the generative image manifold. In ACM SIGGRAPH 2023 Conference Proceedings . 1–11
Xingang Pan, Ayush Tewari, Thomas Leimkühler, Lingjie Liu, Abhimitra Meka, and Christian Theobalt. 2023 · 2023
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Texture: Text-guided texturing of 3d shapes
Elad Richardson, Gal Metzer, Yuval Alaluf, Raja Giryes, and Daniel Cohen-Or. 2023 · 2023
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CLIP-Sculptor: Zero-Shot Generation of High-Fidelity and Diverse Shapes From Natural Language. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 18339–18348
Aditya Sanghi, Rao Fu, Vivian Liu, Karl DD Willis, Hooman Shayani, Amir H Khasahmadi, Srinath Sridhar, and Daniel Ritchie. 2023 · 2023
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DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing
Yujun Shi, Chuhui Xue, Jiachun Pan, Wenqing Zhang, Vincent YF Tan, and Song Bai. 2023 · 2023
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TextMesh: Generation of Realistic 3D Meshes From Text Prompts
Christina Tsalicoglou, Fabian Manhardt, Alessio Tonioni, Michael Niemeyer, and Federico Tombari. 2023 · 2023
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Interactive NeRF Geometry Editing With Shape Priors
Yu-Jie Yuan, Yang-Tian Sun, Yu-Kun Lai, Yuewen Ma, Rongfei Jia, Leif Kobbelt, and Lin Gao. 2023 · 2023
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