Justin Fung

Generation without texture

10

### Description https://user-images.githubusercontent.com/79019929/232335401-4b67e31e-7d7b-4423-abba-85c55be55246.mp4 https://user-images.githubusercontent.com/79019929/232335427-41c5d2b2-1bf3-4f70-85c4-a65a9a9b8297.mp4 ### Steps to Reproduce Here are some of my result generated Steps are like 1. !python main.py --text "a hamburger" --workspace trial -O --vram_O 2. !python...

Repo structure

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Maybe can have a file to illustrate the code file a bit. Eg, the logic flow. I have the intention to co-build the repo hah

Part of reproduction of the paper - R-precision

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Thank you so much for the reproduction of dream fusion. it is a very decent job! I would like to help to improve the repo. Currently, I have added new...

torchsearchsorted installation error

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**Describe the bug** ` cd torchsearchsorted pip install . ` error: command 'gcc' failed with exit status 1 ---------------------------------------- ERROR: Command errored out with exit status 1: /home/wk1user2/anaconda3/envs/nerf_pl/bin/python -u -c...

CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' Building PyTorch extension for tiny-cuda-nn version 1.7

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`pip install --global-option="--no-networks" git+https://github.com/NVlabs/tiny-cuda-nn#subdirectory=bindings/torch imageio_download_bin freeimage` Error is ARNING: Implying --no-binary=:all: due to the presence of --build-option / --global-option / --install-option. Consider using --config-settings for more flexibility. DEPRECATION: --no-binary currently...

A few update on readme file so that the setup process can be smoother

Linux

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is it supported on Linux system?

error: metadata-generation-failed

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When i run `pip install --global-option="--no-networks" git+https://github.com/NVlabs/tiny-cuda-nn#subdirectory=bindings/torch ` The error code shown to me: ` WARNING: Implying --no-binary=:all: due to the presence of --build-option / --global-option / --install-option. Consider using...

collapsible section

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It seems the features of this repo keep growing, which is rather nice! i am afraid of the long readme lead topotential low readability. hope this collapsible section can be...

``` with torch.no_grad(): latent = xm.encoder.encode_to_bottleneck(batch) render_mode = 'stf' # you can change this to 'nerf' size = 128 # recommended that you lower resolution when using nerf cameras =...