Gallery

[ashawkey]

• a gummy jellyfish

df_ep0100_rgb.mp4

• a koi fish

df_ep0100_rgb.mp4

• a bread

df_ep0100_rgb.mp4

• a delicious cake

df_ep0100_rgb.mp4

• a DSLR photo of a yellow duck

ngp_ep0150_rgb.mp4

• a rabbit, animated movie character, high detail 3d model

ngp_ep0100_rgb.mp4

• a DSLR photo of a rose

ngp_ep0100_rgb.mp4

• a high quality photo of a pineapple

ngp_ep0150_rgb.mp4

• a DSLR photo of a hamburger

ngp_ep0150_rgb.mp4

• a DSLR photo of cthulhu

ngp_ep0150_rgb.mp4

[ashawkey]

Failure cases:

• A DSLR photo of a squirrel

ngp_ep0150_rgb.mp4

• A DSLR photo of a frog wearing sweater

ngp_ep0150_rgb.mp4

[settinghead]

I tried DSLR photos of a panda, got a similar failed result. Curious: any guess why it failed?

[pablo-mayrgundter]

Maybe it's because small prey animals have adapted shape and color patterns to make it difficult to guess their true orientation and so which direction they'll scurry or hop away.

[bitRAKE]

This is my first tests, each take about 90 minutes:

--text "a hamburger"

df_ep0100_rgb.mp4

--text "jeweled dagger"

df_ep0150_rgb.mp4

Certainly, a lot more to tune and play with.

[ashawkey]

Some results from the pure-pytorch vanilla NeRF backbone:

• a hamburger

df_ep0100_rgb.mp4

• a pineapple

df_ep0100_rgb.mp4

[elliottzheng]

@ashawkey Hi, can you please provide these commands to reproduce the new results video here?

https://github.com/ashawkey/stable-dreamfusion/tree/8d7899ae758e0f683a1cef51b876f2a37cba0c55

[ashawkey]

@elliottzheng Hi, they are run with the default configs, with prompts like "a superman". You could also refer to this: #128 (comment).