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1901.05103
Cited By
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
16 January 2019
Jeong Joon Park
Peter R. Florence
Julian Straub
Richard Newcombe
S. Lovegrove
3DV
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Papers citing
"DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation"
50 / 2,682 papers shown
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Towards Lossless Implicit Neural Representation via Bit Plane Decomposition
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Nan Xue
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Yujun Shen
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Senbo Wang
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306
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393
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454
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342
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325
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392
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Zhiyong Yang
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Hanqi Jiang
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Mingzhe Xing
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Jieyi Long
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428
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226
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Wei Sun
Hui Yang
Pengchao Deng
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Andrii Zadaianchuk
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337
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241
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477
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203
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177
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300
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474
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Generating visual explanations from deep networks using implicit neural representations
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242
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263
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Xiaoyun Zheng
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Jianbo Jiao
Feng Gao
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314
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MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance
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Jialong Guo
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347
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348
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145
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Instructive3D: Editing Large Reconstruction Models with Text Instructions
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134
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144
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281
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343
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A theory of appropriateness with applications to generative artificial intelligence
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145
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324
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252
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267
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3DV
273
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HyperNet Fields: Efficiently Training Hypernetworks without Ground Truth by Learning Weight Trajectories
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422
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248
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