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Hypernerf Practice

Huggingface Link

This README contains overview on applyiing several custom scenes to reproduce the hypernerf project.

  • hand
  • chess
  • laptop
  • dvd
  • tomato-mark

hand

most successful one, trained intensively, I cropped out wobbly artifacts from top

interpolation:
Image 1
novelview:
Image 2

PSNR:
coarse metrics: metric/psnr≈31.7468
fine metrics: metric/psnr≈32.5462

chess

minimal movement, trained intensively, lighting was varying a lot during capturing, causing flickering

interpolation:
Image 7
novelview:
Image 8

PSNR:
coarse metrics: metric/psnr≈28.4936
fine metrics: metric/psnr≈30.5115

laptop

trained intensively, the thin screen edge failed, far field not so great. more wobbly artifacts, I assume caused by either camera registration error or hypernerf's natural artifact.

interpolation:
Image 3
novelview:
Image 6

PSNR:
coarse metrics: metric/psnr≈23.8846
fine metrics: metric/psnr≈25.1817

dvd

the floating dvd logo: not so great, raw capture is not well set. too short, and "time" has been "associated" with viewing angle by the model.

novelview: Image 4

PSNR:
coarse metrics: metric/psnr≈27.1150
fine metrics: metric/psnr≈28.6814

tomato-mark

wobbly artifacts, I assume caused by either camera registration error or hypernerf's natural artifact. This is present in the hand scene and laptop scene as well

interpolation:
Image 5
PSNR:
coarse metrics: metric/psnr≈27.5819
fine metrics: metric/psnr≈27.9282

The Wobbly artifact mentioned earlier:
Image 9

reproduction steps

Due to deprecation, the hypernerf project doesn't work out of the box.
I had to modify dependencies, then minor changes at rendering part.
For this reproduction, I only used the notebooks.
The provided instructions below have been tested to work.
Click to reproduction steps

Dataset&checkpoint Download:

All in one:
https://huggingface.co/datasets/xieyizheng/hypernerf_custom_scenes/resolve/main/custom_scenes_all.zip

Separately:
https://huggingface.co/datasets/xieyizheng/hypernerf_custom_scenes/tree/main

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