SlowGuess/NeurIPS_2023_OCR huggingface dataset:
Figure A8: Generated results of Textual Inversion [18].
A cat is wearing sunglasses and sitting on a chair, with a lake in the background.
Table A1: Quantitative comparisons between our approach (learning a residual token embedding) and learning a token embedding directly.
Single Subject	Two Subjects	Three Subjects	Four Subjects
Text Alignment	Image Alignment	Text Alignment	Image Alignment	Text Alignment	Image Alignment	Text Alignment	Image Alignment
Our approach	0.330	0.725	0.309	0.708	0.304	0.689	0.299	0.673
Token embedding	0.324	0.720	0.291	0.686	0.292	0.669	0.281	0.651
Figure A9: Visualization of learning embedding directly using Textual Inversion. "+"Guidance" refers to applying our layout guidance.
Token embedding w/ Textual inversion
A dog...
A cat...
A dog and a cat on the beach.
+Guidance