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LICENSE.md

@@ -0,0 +1,231 @@
+DSINE SOFTWARE
+
+LICENCE AGREEMENT
+
+WE (Imperial College of Science, Technology and Medicine, (“Imperial College
+London”)) ARE WILLING TO LICENSE THIS SOFTWARE TO YOU (a licensee “You”) ONLY
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+SOFTWARE LICENCE AGREEMENT (EXCLUDING BSD COMPONENTS)
+
+1. This Agreement pertains to a worldwide, non-exclusive, temporary, fully
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+BSD Elements of the Software
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+Copyright as indicated in the header of the individual element of the Software.
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+
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+
+1. Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+
+2. Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
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+
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+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
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+
+SCHEDULE 1
+
+The Software
+
+DSINE is a framework for estimating surface normals from a single image. It is based on the techniques described in the following publication:
+
+    • Gwangbin Bae, Andrew J. Davison. Rethinking Inductive Biases for Surface Normal Estimation. CVPR, 2024
+
+---
+
+Acknowledgments
+
+If you use the software, you should reference the following paper in any publication:
+
+    • Gwangbin Bae, Andrew J. Davison. Rethinking Inductive Biases for Surface Normal Estimation. CVPR, 2024

README.md

@@ -1,3 +1,9 @@
 ---
 pipeline_tag: image-to-3d
----
+---
+
+Model weights for [DSINE](https://baegwangbin.github.io/DSINE/).
+
+## Paper
+
+[Rethinking Inductive Biases for Surface Normal Estimation](https://arxiv.org/abs/2403.00712)

dsine.pt

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