update doc and bump version (#35)

docs/source/conf.py

@@ -9,7 +9,7 @@ copyright = "2022, Ruilong"
 author = "Ruilong"
 
 release = "0.1"
-version = "0.1.0"
+version = "0.1.1"
 
 # -- General configuration
 

docs/source/examples/dnerf.rst

@@ -3,13 +3,13 @@ Dynamic Scene
 
 
 
-+----------------------+----------+---------+-------+---------+-------+--------+---------+-------+
-|                      | bouncing | hell    | hook  | jumping | lego  | mutant | standup | trex  |
-|                      | balls    | warrior |       | jacks   |       |        |         |       |
-+======================+==========+=========+=======+=========+=======+========+=========+=======+
-| Paper (PSNR: ~2day)  | 38.93    | 25.02   | 29.25 | 32.80   | 21.64 | 31.29  | 32.79   | 31.75 |
-+----------------------+----------+---------+-------+---------+-------+--------+---------+-------+
-| Ours  (PSNR: ~50min) | 39.60    | 22.41   | 30.64 | 29.79   | 24.75 | 35.20  | 34.50   | 31.83 | 
-+----------------------+----------+---------+-------+---------+-------+--------+---------+-------+
-| Ours  (Training time)| 45min    | 49min   | 51min | 46min   | 53min | 57min  | 49min   | 46min |
-+----------------------+----------+---------+-------+---------+-------+--------+---------+-------+
++----------------------+----------+---------+-------+---------+-------+--------+---------+-------+-------+
+|                      | bouncing | hell    | hook  | jumping | lego  | mutant | standup | trex  | AVG   |
+|                      | balls    | warrior |       | jacks   |       |        |         |       |       |
++======================+==========+=========+=======+=========+=======+========+=========+=======+=======+
+| Paper (PSNR: ~2day)  | 38.93    | 25.02   | 29.25 | 32.80   | 21.64 | 31.29  | 32.79   | 31.75 | 30.43 |
++----------------------+----------+---------+-------+---------+-------+--------+---------+-------+-------+
+| Ours  (PSNR: ~50min) | 39.60    | 22.41   | 30.64 | 29.79   | 24.75 | 35.20  | 34.50   | 31.83 | 31.09 |
++----------------------+----------+---------+-------+---------+-------+--------+---------+-------+-------+
+| Ours  (Training time)| 45min    | 49min   | 51min | 46min   | 53min | 57min  | 49min   | 46min | 50min |
++----------------------+----------+---------+-------+---------+-------+--------+---------+-------+-------+

docs/source/examples/vanilla.rst

@@ -7,15 +7,15 @@ Benchmarks
 ------------
 
 
-+----------------------+-------+-------+------------+-------+--------+--------+--------+--------+
-|                      | Lego  | Mic   | Materials  |Chair  |Hotdog  | Ficus  | Drums  | Ship   |
-|                      |       |       |            |       |        |        |        |        |
-+======================+=======+=======+============+=======+========+========+========+========+
-| Paper (PSNR: 1~2days)| 32.54 | 32.91 | 29.62      | 33.00 | 36.18  | 30.13  | 25.01  | 28.65  |
-+----------------------+-------+-------+------------+-------+--------+--------+--------+--------+
-| Ours  (PSNR: ~50min) | 33.69 | 33.76 | 29.73      | 33.32 | 35.80  | 32.52  | 25.39  | 28.18  |
-+----------------------+-------+-------+------------+-------+--------+--------+--------+--------+
-| Ours  (Training time)| 58min | 53min | 46min      | 62min | 56min  | 42min  | 52min  | 49min  |
-+----------------------+-------+-------+------------+-------+--------+--------+--------+--------+
++----------------------+-------+-------+------------+-------+--------+--------+--------+--------+--------+
+|                      | Lego  | Mic   | Materials  |Chair  |Hotdog  | Ficus  | Drums  | Ship   | AVG    |
+|                      |       |       |            |       |        |        |        |        |        |
++======================+=======+=======+============+=======+========+========+========+========+========+
+| Paper (PSNR: 1~2days)| 32.54 | 32.91 | 29.62      | 33.00 | 36.18  | 30.13  | 25.01  | 28.65  | 31.00  |
++----------------------+-------+-------+------------+-------+--------+--------+--------+--------+--------+
+| Ours  (PSNR: ~50min) | 33.69 | 33.76 | 29.73      | 33.32 | 35.80  | 32.52  | 25.39  | 28.18  | 31.55  |
++----------------------+-------+-------+------------+-------+--------+--------+--------+--------+--------+
+| Ours  (Training time)| 58min | 53min | 46min      | 62min | 56min  | 42min  | 52min  | 49min  | 52min  |
++----------------------+-------+-------+------------+-------+--------+--------+--------+--------+--------+
 
 .. _`github repository`: : https://github.com/KAIR-BAIR/nerfacc/
\ No newline at end of file

docs/source/index.rst

@@ -5,12 +5,12 @@ NerfAcc is a PyTorch Nerf acceleration toolbox for both training and inference.
 
 Using NerfAcc, 
 
-- The `vanilla Nerf model`_ with 8-layer MLPs can be trained to *better quality* (+~1.0 PNSR) \
-  in *45 minutes* rather than *1~2 days* as in the paper.
-- The `instant-ngp Nerf model`_ can be trained to *equal quality* with *9/10th* of the training time \
+- The `vanilla Nerf model`_ with 8-layer MLPs can be trained to *better quality* (+~0.5 PNSR) \
+  in *1 hour* rather than *1~2 days* as in the paper.
+- The `instant-ngp Nerf model`_ can be trained to *equal quality* with *9/10th* of the training time (4.5 minutes) \
   comparing to the official pure-CUDA implementation.
-- The `D-Nerf model`_ for *dynamic* objects can also be trained in *45 minutes* \
-  rather than *2 days* as in the paper, and with *better quality* (+~2.0 PSNR).
+- The `D-Nerf model`_ for *dynamic* objects can also be trained in *1 hour* \
+  rather than *2 days* as in the paper, and with *better quality* (+~0.5 PSNR).
 - *Unbounded scenes* from `MipNerf360`_ can also be trained in \
   *~1 hour* and get comparable quality to the paper.
 

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "nerfacc"
-version = "0.1.0"
+version = "0.1.1"
 authors = [{name = "Ruilong", email = "ruilongli94@gmail.com"}]
 license = { text="MIT" }
 requires-python = ">=3.8"