V 1.0 Major Update #183
Merged
V 1.0 Major Update #183
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
added 30 commits
May 13, 2024 21:40
vye16
approved these changes
Jun 7, 2024
maturk
reviewed
Jun 7, 2024
maturk
approved these changes
Jun 7, 2024
|
I restored the v1.0 branch for nerfview documentation's pointing. Will delete it after I got everything updated thanks! |
bchretien
reviewed
Jun 10, 2024
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
This is a continue development based on #172. There are many major features in this update, including:
Comparing to the official implementation, gsplat enables up to 4x less training memory footprint, and up to 2x less training time on Mip-NeRF 360 captures, and potential more on larger scenes.
Support extremely large scene rendering, which is magnitudes faster than the official CUDA backend diff-gaussian-rasterization.
Extra features, including batch rasterization, N-D feature rendering (faster), depth rendering, sparse gradient etc.