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We present a novel framework for enhancing the visual fidelity and consistency of text-guided 3D Gaussian Splatting (3DGS) editing.
“Learning graph regularisation for guided super-resolution,”
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“Blendedmvs: A large-scale dataset for generalized multi-view stereo networks,”
Yao Yao, Zixin Luo, Shiwei Li, Jingyang Zhang, Yufan Ren, Lei Zhou, Tian Fang, and Long Quan, · 2020
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Xiaoyu Dong, Naoto Yokoya, Longguang Wang, and Tatsumi Uezato, · 2022
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“Mip-nerf 360: Unbounded anti-aliased neural radiance fields,”
Jonathan T Barron, Ben Mildenhall, Dor Verbin, Pratul P Srinivasan, and Peter Hedman, · 2022
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“Adding conditional control to text-to-image diffusion models,”
Lvmin Zhang, Anyi Rao, and Maneesh Agrawala, · 2023
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“Instruct-nerf2nerf: Editing 3d scenes with instructions,”
Ayaan Haque, Matthew Tancik, Alexei A Efros, Aleksander Holynski, and Angjoo Kanazawa, · 2023
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“3d gaussian splatting for real-time radiance field rendering.,”
Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, and George Drettakis, · 2023
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“Multi-view ensemble clustering via low-rank and sparse decomposition: from matrix to tensor,”
Xuanqi Zhang, Qiangqiang Shen, Yongyong Chen, Guokai Zhang, Zhongyun Hua, and Jingyong Su, · 2023
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“Guided depth map super-resolution: A survey,”
Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, and Xiangyang Ji, · 2023
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“Rgb-guided depth map recovery by two-stage coarse-to-fine dense crf models,”
Haotian Wang, Meng Yang, Ce Zhu, and Nanning Zheng, · 2023
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“Vox-e: Text-guided voxel editing of 3d objects,”
Etai Sella, Gal Fiebelman, Peter Hedman, and Hadar Averbuch-Elor, · 2023
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“Mamba: Linear-time sequence modeling with selective state spaces,”
Albert Gu and Tri Dao, · 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, · 2023
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“Nerfstudio: A modular framework for neural radiance field development,”
Matthew Tancik, Ethan Weber, Evonne Ng, Ruilong Li, Brent Yi, Terrance Wang, Alexander Kristoffersen, Jake Austin, Kamyar Salahi, Abhik Ahuja, et al., · 2023
Cited alongside, same era.
“Gaussctrl: multi-view consistent text-driven 3d gaussian splatting editing,”
Jing Wu, Jia-Wang Bian, Xinghui Li, Guangrun Wang, Ian Reid, Philip Torr, and Victor Adrian Prisacariu, · 2024
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“Vica-nerf: View-consistency-aware 3d editing of neural radiance fields,”
Jiahua Dong and Yu-Xiong Wang, · 2024
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“Intrinsic phase-preserving networks for depth super resolution,”
Xuanhong Chen, Hang Wang, Jialiang Chen, Kairui Feng, Jinfan Liu, Xiaohang Wang, Weimin Zhang, and Bingbing Ni, · 2024
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“Dual completion learning for incomplete multi-view clustering,”
Qiangqiang Shen, Xuanqi Zhang, Shuqin Wang, Yuanman Li, Yongsheng Liang, and Yongyong Chen, · 2024
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“Instruct-gs2gs: Editing 3d gaussian splats with instructions,” 2024,
Cyrus Vachha and Ayaan Haque, · 2024
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“Advances in text-guided 3d editing: a survey,”
Lihua Lu, Ruyang Li, Xiaohui Zhang, Hui Wei, Guoguang Du, and Binqiang Wang, · 2024
Cited alongside, same era.
“Trame: Trajectory-anchored multi-view editing for text-guided 3d gaussian splatting manipulation,”
Chaofan Luo, Donglin Di, Xun Yang, Yongjia Ma, Zhou Xue, Chen Wei, and Yebin Liu, · 2024
Cited alongside, same era.
“Dge: Direct gaussian 3d editing by consistent multi-view editing,”
Minghao Chen, Iro Laina, and Andrea Vedaldi, · 2024
Cited alongside, same era.
“T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models,”
Chong Mou, Xintao Wang, Liangbin Xie, Yanze Wu, Jian Zhang, Zhongang Qi, and Ying Shan, · 2024
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Yiwen Chen, Zilong Chen, Chi Zhang, Feng Wang, Xiaofeng Yang, Yikai Wang, Zhongang Cai, Lei Yang, Huaping Liu, and Guosheng Lin, · 2024
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“Sgnet: Structure guided network via gradient-frequency awareness for depth map super-resolution,”
Zhengxue Wang, Zhiqiang Yan, and Jian Yang, · 2024
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“Llemamba: Low-light enhancement via relighting-guided mamba with deep unfolding network,”
Xuanqi Zhang, Haijin Zeng, Jinwang Pan, Qiangqiang Shen, and Yongyong Chen, · 2024
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“Wavelet convolutions for large receptive fields,”
Shahaf E Finder, Roy Amoyal, Eran Treister, and Oren Freifeld, · 2024
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