diff --git a/CMakeLists.txt b/CMakeLists.txt
index 7936b5f44b36a23f9149944ac08714d5ea6f65c7..9b8059bd2cd2f0cf4128529be3d4e49c56d81b2d 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -6,7 +6,7 @@
# distribution of this software and related documentation without an express
# license agreement from NVIDIA CORPORATION is strictly prohibited.
-cmake_minimum_required(VERSION 3.19)
+cmake_minimum_required(VERSION 3.18)
PROJECT(instant-ngp
VERSION 1.0
diff --git a/docs/assets/mueller2022instant.bib b/docs/assets/mueller2022instant.bib
index eb605e107bcd1b57efc1546f7e802ac3165fe6c2..4744d9fec67565f565e2a083109a47a63857cbf8 100644
--- a/docs/assets/mueller2022instant.bib
+++ b/docs/assets/mueller2022instant.bib
@@ -1,7 +1,18 @@
@article{mueller2022instant,
- title = {Instant Neural Graphics Primitives with a Multiresolution Hash Encoding},
author = {Thomas M\"uller and Alex Evans and Christoph Schied and Alexander Keller},
- journal = {arXiv:2201.05989},
+ title = {Instant Neural Graphics Primitives with a Multiresolution Hash Encoding},
+ journal = {ACM Trans. Graph.},
+ issue_date = {July 2022},
+ volume = {41},
+ number = {4},
+ month = jul,
year = {2022},
- month = jan
+ pages = {102:1--102:15},
+ articleno = {102},
+ numpages = {15},
+ url = {https://doi.org/10.1145/3528223.3530127},
+ doi = {10.1145/3528223.3530127},
+ publisher = {ACM},
+ address = {New York, NY, USA},
+ keywords = {real-time, rendering, deep learning, neural networks, path tracing, radiance caching, hashing, gpu, parallel computation, function approximation, encodings, image synthesis}
}
diff --git a/docs/assets/mueller2022instant.pdf b/docs/assets/mueller2022instant.pdf
index 1ee889502146b5cc8fc26924f5d0e867e75ad446..54c7560da3ec573b5ef1f5ca2b968f90f25e3b64 100644
Binary files a/docs/assets/mueller2022instant.pdf and b/docs/assets/mueller2022instant.pdf differ
diff --git a/docs/index.html b/docs/index.html
index 37311741c363607b5cfc75edb75467e0d7ba3366..28b4c84db05d0c6b38fd875bbff23c171b08a3b1 100644
--- a/docs/index.html
+++ b/docs/index.html
@@ -235,6 +235,10 @@ figure {
<div class="col-1 text-center">NVIDIA</div>
</div>
+ <div class="affil-row">
+ <div class="venue text-center"><b><a href="https://s2022.siggraph.org">ACM Transactions on Graphics (SIGGRAPH 2022)</a></b></div>
+ </div>
+
<div style="clear: both">
<div class="paper-btn-parent">
<a class="paper-btn" href="assets/mueller2022instant.pdf">
@@ -299,6 +303,7 @@ figure {
<h2>News</h2>
<hr>
<div class="row">
+ <div><span class="material-icons"> description </span> [May 3rd 2022] Paper accepted to <a href="https://s2022.siggraph.org">ACM Transactions on Graphics (SIGGRAPH 2022)</a>.</div>
<div><span class="material-icons"> description </span> [Jan 19th 2022] Paper released on <a href="https://arxiv.org/abs/2201.05989">arXiv</a>.</div>
<div><span class="material-icons"> integration_instructions </span> [Jan 14th 2022] Code released on <a href="https://github.com/NVlabs/instant-ngp">GitHub</a>.</div>
</div>
@@ -461,7 +466,7 @@ figure {
<p><b>Instant Neural Graphics Primitives with a Multiresolution Hash Encoding</b></p>
<p>Thomas Müller, Alex Evans, Christoph Schied, Alexander Keller</p>
- <div><span class="material-icons"> description </span><a href="assets/mueller2022instant.pdf"> Paper preprint (PDF, 15.3 MB)</a></div>
+ <div><span class="material-icons"> description </span><a href="assets/mueller2022instant.pdf"> Paper preprint (PDF, 17.7 MB)</a></div>
<div><span class="material-icons"> description </span><a href="https://arxiv.org/abs/2201.05989"> arXiv version</a></div>
<div><span class="material-icons"> insert_comment </span><a href="assets/mueller2022instant.bib"> BibTeX</a></div>
<div><span class="material-icons"> integration_instructions </span><a href="https://github.com/NVlabs/instant-ngp"> Code</a></div>
@@ -476,11 +481,21 @@ figure {
<h2>Citation</h2>
<hr>
<pre><code>@article{mueller2022instant,
- title = {Instant Neural Graphics Primitives with a Multiresolution Hash Encoding},
author = {Thomas M\"uller and Alex Evans and Christoph Schied and Alexander Keller},
- journal = {arXiv:2201.05989},
+ title = {Instant Neural Graphics Primitives with a Multiresolution Hash Encoding},
+ journal = {ACM Trans. Graph.},
+ issue_date = {July 2022},
+ volume = {41},
+ number = {4},
+ month = jul,
year = {2022},
- month = jan
+ pages = {102:1--102:15},
+ articleno = {102},
+ numpages = {15},
+ url = {https://doi.org/10.1145/3528223.3530127},
+ doi = {10.1145/3528223.3530127},
+ publisher = {ACM},
+ address = {New York, NY, USA}
}
</code></pre>
</section>
diff --git a/scripts/run.py b/scripts/run.py
index d2718812b54ca78767a4325760b835f7784d21df..e1e18507c494b7e359c48097cb02e985554cef43 100644
--- a/scripts/run.py
+++ b/scripts/run.py
@@ -108,7 +108,7 @@ if __name__ == "__main__":
testbed.tonemap_curve = ngp.TonemapCurve.ACES
if args.scene:
- scene=args.scene
+ scene = args.scene
if not os.path.exists(args.scene) and args.scene in scenes:
scene = os.path.join(scenes[args.scene]["data_dir"], scenes[args.scene]["dataset"])
testbed.load_training_data(scene)
diff --git a/scripts/scenes.py b/scripts/scenes.py
index c3fa39be90b0e333129514139b8f04096e3e5995..f820e8cad7491c4617c53f12aa8c8b436387efb9 100644
--- a/scripts/scenes.py
+++ b/scripts/scenes.py
@@ -69,7 +69,7 @@ scenes_sdf = {
}
-def ours_image(name,infolder=True):
+def ours_image(name, infolder=True):
data_dir = os.path.join(IMAGE_DATA_FOLDER, f"{name}") if infolder else IMAGE_DATA_FOLDER
dataset = f"{name}.bin"
if not os.path.exists(os.path.join(data_dir, dataset)):
@@ -88,6 +88,8 @@ scenes_image = {
"albert" : ours_image("albert", False),
}
+
+
def ours_volume(name, ds):
return {
"data_dir" : os.path.join(VOLUME_DATA_FOLDER, f"{name}"),
@@ -203,3 +205,4 @@ def setup_colored_sdf(testbed, scene, softshadow=True):
col = list(testbed.background_color)
testbed.sdf.brdf.ambientcolor = np.multiply(col,col)[0:3]
testbed.sdf.shadow_sharpness = 16 if softshadow else 2048
+ testbed.scale = testbed.scale * 1.13