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Existing text-based 3D generation methods generate attractive results but lack detailed geometry control.
On visual similarity based 3D model retrieval. In Computer Graphics Forum , Vol. 22. Wiley Online Library, 223–232
Ding-Yun Chen, Xiao-Pei Tian, Yu-Te Shen, and Ming Ouhyoung. 2003 · 2003
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A search engine for 3D models
Thomas Funkhouser, Patrick Min, Michael Kazhdan, Joyce Chen, Alex Halderman, David Dobkin, and David Jacobs. 2003 · 2003
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Depth-image-based rendering (DIBR), compression, and transmission for a new approach on 3D-TV. In Stereoscopic displays and virtual reality systems XI , Vol. 5291. 93–104
Christoph Fehn. 2004 · 2004
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Teddy: a sketching interface for 3D freeform design
Takeo Igarashi, Satoshi Matsuoka, and Hidehiko Tanaka. 2006 · 2006
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SKETCH: An interface for sketching 3D scenes
Robert C Zeleznik, Kenneth P Herndon, and John F Hughes. 2006 · 2006
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Sketch2Photo: internet image montage
Tao Chen, Ming-Ming Cheng, Ping Tan, Ariel Shamir, and Shi-Min Hu. 2009 · 2009
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Image-to-Image Translation with Conditional Adversarial Networks. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 5967–5976
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A. Efros. 2017 · 2017
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3D shape reconstruction from sketches via multi-view convolutional networks. In International Conference on 3D Vision (3DV) . 67–77
Zhaoliang Lun, Matheus Gadelha, Evangelos Kalogerakis, Subhransu Maji, and Rui Wang. 2017 · 2017
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3D sketching using multi-view deep volumetric prediction
Johanna Delanoy, Mathieu Aubry, Phillip Isola, Alexei A Efros, and Adrien Bousseau. 2018 · 2018
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Robust flow-guided neural prediction for sketch-based freeform surface modeling
Changjian Li, Hao Pan, Yang Liu, Xin Tong, Alla Sheffer, and Wenping Wang. 2018 · 2018
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Unsupervised learning of 3D model reconstruction from hand-drawn sketches. In Proceedings of the 26th ACM international conference on Multimedia . 1820–1828
Lingjing Wang, Cheng Qian, Jifei Wang, and Yi Fang. 2018 · 2018
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Sketch2CAD: Sequential CAD modeling by sketching in context
Changjian Li, Hao Pan, Adrien Bousseau, and Niloy J Mitra. 2020 · 2020
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Pose-Warping for View Synthesis / DIBR
Nagabhushan Somraj. 2020 · 2020
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Sketch-based modeling with a differentiable renderer
Nan Xiang, Ruibin Wang, Tao Jiang, Li Wang, Yanran Li, Xiaosong Yang, and Jianjun Zhang. 2020 · 2020
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Deep sketch-based modeling: Tips and tricks. In 2020 International Conference on 3D Vision (3DV) . 543–552
Yue Zhong, Yulia Gryaditskaya, Honggang Zhang, and Yi-Zhe Song. 2020a · 2020
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Towards practical sketch-based 3D shape generation: The role of professional sketches
Yue Zhong, Yonggang Qi, Yulia Gryaditskaya, Honggang Zhang, and Yi-Zhe Song. 2020b · 2020
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Editing conditional radiance fields. In Proceedings of the IEEE/CVF International Conference on Computer Vision . 5773–5783
Steven Liu, Xiuming Zhang, Zhoutong Zhang, Richard Zhang, Jun-Yan Zhu, and Bryan Russell. 2021 · 2021
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Learning transferable visual models from natural language supervision. In International conference on machine learning . 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
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Learning object-compositional neural radiance field for editable scene rendering. In Proceedings of the IEEE/CVF International Conference on Computer Vision . 13779–13788
Bangbang Yang, Yinda Zhang, Yinghao Xu, Yijin Li, Han Zhou, Hujun Bao, Guofeng Zhang, and Zhaopeng Cui. 2021 · 2021
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Editable free-viewpoint video using a layered neural representation
Jiakai Zhang, Xinhang Liu, Xinyi Ye, Fuqiang Zhao, Yanshun Zhang, Minye Wu, Yingliang Zhang, Lan Xu, and Jingyi Yu. 2021b · 2021
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Learning to generate line drawings that convey geometry and semantics. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 7915–7925
Caroline Chan, Frédo Durand, and Phillip Isola. 2022 · 2022
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SketchSampler: Sketch-Based 3D Reconstruction via View-Dependent Depth Sampling. In European Conference on Computer Vision . 464–479
Chenjian Gao, Qian Yu, Lu Sheng, Yi-Zhe Song, and Dong Xu. 2022 · 2022
Cited alongside, same era.
VolTeMorph: Realtime, Controllable and Generalisable Animation of Volumetric Representations
Stephan J. Garbin, Marek Kowalski, Virginia Estellers, Stanislaw Szymanowicz, Shideh Rezaeifar, Jingjing Shen, Matthew Johnson, and Julien Valentin. 2022 · 2022
Cited alongside, same era.
Free2CAD: Parsing freehand drawings into CAD commands
Changjian Li, Hao Pan, Adrien Bousseau, and Niloy J Mitra. 2022 · 2022
Cited alongside, same era.
Midjournal
Midjournal. 2022 · 2022
Cited alongside, same era.
SNeRF: stylized neural implicit representations for 3D scenes
Thu Nguyen-Phuoc, Feng Liu, and Lei Xiao. 2022 · 2022
Cited alongside, same era.
DreamFusion: Text-to-3D using 2D Diffusion. In International Conference on Learning Representations
Ben Poole, Ajay Jain, Jonathan T. Barron, and Ben Mildenhall. 2023 · 2023
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Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors
Guocheng Qian, Jinjie Mai, Abdullah Hamdi, Jian Ren, Aliaksandr Siarohin, Bing Li, Hsin-Ying Lee, Ivan Skorokhodov, Peter Wonka, Sergey Tulyakov, and Bernard Ghanem. 2023 · 2023
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RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D
Lingteng Qiu, Guanying Chen, Xiaodong Gu, Qi Zuo, Mutian Xu, Yushuang Wu, Weihao Yuan, Zilong Dong, Liefeng Bo, and Xiaoguang Han. 2023 · 2023
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DreamBooth: Fine tuning text-to-image diffusion models for subject-driven generation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 22500–22510
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, and Kfir Aberman. 2023 · 2023
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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
Cited alongside, same era.
Deforming radiance fields with cages. In European Conference on Computer Vision . 159–175
Tianhan Xu and Tatsuya Harada. 2022 · 2022
Cited alongside, same era.
NeuMesh: Learning disentangled neural mesh-based implicit field for geometry and texture editing. In European Conference on Computer Vision . 597–614
Bangbang Yang, Chong Bao, Junyi Zeng, Hujun Bao, Yinda Zhang, Zhaopeng Cui, and Guofeng Zhang. 2022 · 2022
Cited alongside, same era.
Nerf-editing: geometry editing of neural radiance fields. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 18353–18364
Yu-Jie Yuan, Yang-Tian Sun, Yu-Kun Lai, Yuewen Ma, Rongfei Jia, and Lin Gao. 2022 · 2022
Cited alongside, same era.
Xinhua Cheng, Tianyu Yang, Jianan Wang, Yu Li, Lei Zhang, Jian Zhang, and Li Yuan. 2023 · 2023
Cited alongside, same era.
Objaverse: A universe of annotated 3D objects. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 13142–13153
Matt Deitke, Dustin Schwenk, Jordi Salvador, Luca Weihs, Oscar Michel, Eli VanderBilt, Ludwig Schmidt, Kiana Ehsani, Aniruddha Kembhavi, and Ali Farhadi. 2023 · 2023
Cited alongside, same era.
SketchFaceNeRF: Sketch-based Facial Generation and Editing in Neural Radiance Fields
Lin Gao, Feng-Lin Liu, Shu-Yu Chen, Kaiwen Jiang, Chun-Peng Li, Yu-Kun Lai, and Hongbo Fu. 2023b · 2023
Cited alongside, same era.
Vox-E: Text-guided voxel editing of 3D objects. In Proceedings of the IEEE/CVF International Conference on Computer Vision . 430–440
Etai Sella, Gal Fiebelman, Peter Hedman, and Hadar Averbuch-Elor. 2023 · 2023
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Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model
Ruoxi Shi, Hansheng Chen, Zhuoyang Zhang, Minghua Liu, Chao Xu, Xinyue Wei, Linghao Chen, Chong Zeng, and Hao Su. 2023a · 2023
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MVDream: Multi-view diffusion for 3D generation
Yichun Shi, Peng Wang, Jianglong Ye, Mai Long, Kejie Li, and Xiao Yang. 2023b · 2023
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Dreamcraft3D: Hierarchical 3D generation with bootstrapped diffusion prior
Jingxiang Sun, Bo Zhang, Ruizhi Shao, Lizhen Wang, Wen Liu, Zhenda Xie, and Yebin Liu. 2023 · 2023
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DreamGaussian: Generative Gaussian splatting for efficient 3D content creation
Jiaxiang Tang, Jiawei Ren, Hang Zhou, Ziwei Liu, and Gang Zeng. 2023a · 2023
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NeRF-Art: Text-driven neural radiance fields stylization
Can Wang, Ruixiang Jiang, Menglei Chai, Mingming He, Dongdong Chen, and Jing Liao. 2023b · 2023
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ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation
Peng Wang and Yichun Shi. 2023 · 2023
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HyperDreamer: Hyper-Realistic 3D Content Generation and Editing from a Single Image. In SIGGRAPH Asia 2023 Conference Papers . 1–10
Tong Wu, Zhibing Li, Shuai Yang, Pan Zhang, Xingang Pan, Jiaqi Wang, Dahua Lin, and Ziwei Liu. 2023 · 2023
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IPDreamer: Appearance-Controllable 3D Object Generation with Image Prompts
Bohan Zeng, Shanglin Li, Yutang Feng, Hong Li, Sicheng Gao, Jiaming Liu, Huaxia Li, Xu Tang, Jianzhuang Liu, and Baochang Zhang. 2023 · 2023
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Adding conditional control to text-to-image diffusion models. In Proceedings of the IEEE/CVF International Conference on Computer Vision . 3836–3847
Lvmin Zhang, Anyi Rao, and Maneesh Agrawala. 2023 · 2023
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Locally Attentional SDF Diffusion for Controllable 3D Shape Generation
Xin-Yang Zheng, Hao Pan, Peng-Shuai Wang, Xin Tong, Yang Liu, and Heung-Yeung Shum. 2023 · 2023
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DreamEditor: Text-driven 3D scene editing with neural fields. In SIGGRAPH Asia 2023 Conference Papers . 1–10
Jingyu Zhuang, Chen Wang, Liang Lin, Lingjie Liu, and Guanbin Li. 2023 · 2023
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FocalDreamer: Text-Driven 3D Editing via Focal-Fusion Assembly. In Conference on Artificial Intelligence . 3279–3287
Yuhan Li, Yishun Dou, Yue Shi, Yu Lei, Xuanhong Chen, Yi Zhang, Peng Zhou, and Bingbing Ni. 2024 · 2024
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A Comprehensive Survey on 3D Content Generation
Jian Liu, Xiaoshui Huang, Tianyu Huang, Lu Chen, Yuenan Hou, Shixiang Tang, Ziwei Liu, Wanli Ouyang, Wangmeng Zuo, Junjun Jiang, and Xianming Liu. 2024 · 2024
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T2I-Adapter: Learning Adapters to Dig Out More Controllable Ability for Text-to-Image Diffusion Models. In Conference on Artificial Intelligence . 4296–4304
Chong Mou, Xintao Wang, Liangbin Xie, Yanze Wu, Jian Zhang, Zhongang Qi, and Ying Shan. 2024 · 2024
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Recent advances in implicit representation-based 3D shape generation
Jia-Mu Sun, Tong Wu, and Lin Gao. 2024 · 2024
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A Survey on Deep Generative 3D-aware Image Synthesis
Weihao Xia and Jing-Hao Xue. 2024 · 2024
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