SlowGuess/NeurIPS_2023_OCR huggingface dataset:
A.8 Additional Qualitative Results and Subject Fidelity Showcasing
In Figure 12 to 14, we provide additional qualitative results on DreamBench subjects and prompts. We show the reference subject image in the first column. In the rest columns, we provide generated renditions. To showcase subject fidelity and photorealism, we purposely mix one genuine subject image in and leave for interested readers to figure out. Read the captions to verify.
Table 6: Average metrics for each subject on DreamBench in fine-tuning setup.
Subject	backpack	backpack-dog	bear-plushie	berry-bowl	can	candle
DINO	0.551	0.639	0.693	0.808	0.618	0.519
CLIP-I	0.839	0.760	0.752	0.829	0.695	0.752
CLIP-T	0.320	0.317	0.307	0.254	0.313	0.311
Subject	cat	cat2	clock	colorful-sneaker	dog	dog2
DINO	0.806	0.747	0.479	0.739	0.821	0.793
CLIP-I	0.869	0.864	0.784	0.805	0.860	0.841
CLIP-T	0.306	0.284	0.305	0.320	0.313	0.307
Subject	dog3	dog5	dog6	dog7	dog8	duck-toy
DINO	0.573	0.727	0.834	0.672	0.723	0.699
CLIP-I	0.751	0.801	0.891	0.823	0.823	0.838
CLIP-T	0.312	0.311	0.280	0.310	0.310	0.284
Subject	fancy-boot	grey-sloth-plushie	monster-toy	pink-sunglasses	poop-emoji	rc-car
DINO	0.649	0.717	0.566	0.625	0.627	0.651
CLIP-I	0.827	0.780	0.743	0.826	0.784	0.775
CLIP-T	0.299	0.322	0.292	0.312	0.290	0.288
Subject	red-cartoon	robot-toy	shiny-sneaker	teapot	vase	wolf-plushie
DINO	0.788	0.626	0.757	0.484	0.628	0.599
CLIP-I	0.882	0.803	0.804	0.819	0.812	0.760
CLIP-T	0.262	0.316	0.297	0.331	0.261	0.325
Figure 9: Zero-shot subject interpolation. We interpolate subject representation and use the same denoising and decoder network for generation. The intermediate subject representation naturally blends the subject appearance, while fitting coherently into the new context.
Figure 10: Zero-shot subject-driven stylization. We show guiding subject images on top. In the rest rows, we show reference subjects and their canny maps on left, and stylized reference subjects by column.
Figure 11: (Cont.) Zero-shot subject-driven stylization. We show guiding subject images on top. In the rest rows, we show reference subjects and their canny maps on left, and stylized reference subjects by column.
backpack-dog
on a dirt road
on a cobblestone street
on top of green grass with sunflowers around it
a purple backpack
an original backpack
a red backpack
in the snow
monster-toy
on top of a white rug
cube-shaped
with a wheat field in the background
in the jungle
with a city in the background
an original toy
on a purple rug in the forest
on top of a mirror
an original teapot
a red teapot
with a tree and autumn leaves in the background
Figure 12: Additional qualitative results using DreamBench subjects and prompts. To showcase subject fidelity and photorealism, we mix one genuine subject image in the generations for readers to figure out. Zoom-in and read the captions to verify.
on top of a pink fabric
floating on top of water
pink-sunglasses
an original sunglasses
a purple sunglasses
with a mountain in the background
a purple candle
a red candle
with a tree and autumn leaves in the background
an original candle
with a blue house in the background
in a chef outfit
in a firefighter outfit
an original dog
Figure 13: (Cont.) Additional qualitative results using DreamBench subjects and prompts. To showcase subject fidelity and photorealism, we mix one genuine subject image in the generations for readers to figure out. Zoom-in and read the captions to verify.
wearing a black top hat and a monocle
wearing a Santa hat
red-cartoon
an original cartoon
with the Eiffel Tower in the background
on the beach
on top of green grass with sunflowers around it
bear-plushie
a red plushie
an original plushie
on top of green grass with sunflowers around it
on a white rug
an original clock
on top of a wooden floor
Figure 14: (Cont.) Additional qualitative results using DreamBench subjects and prompts. To showcase subject fidelity and photorealism, we mix one genuine subject image in the generations for readers to figure out. Zoom-in and read the captions to verify.