Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering
Visual text rendering poses a fundamental challenge for contemporary
text-to-image generation models, with the core problem lying in text encoder
deficiencies. To achieve accurate text rendering, we identify two crucial
requirements for text encoders: character awareness and alignment with glyphs.
Our solution involves crafting a series of customized text encoder, Glyph-ByT5,
by fine-tuning the character-aware ByT5 encoder using a meticulously curated
paired glyph-text dataset. We present an effective method for integrating
Glyph-ByT5 with SDXL, resulting in the creation of the Glyph-SDXL model for
design image generation. This significantly enhances text rendering accuracy,
improving it from less than 20% to nearly 90% on our design image
benchmark. Noteworthy is Glyph-SDXL's newfound ability for text paragraph
rendering, achieving high spelling accuracy for tens to hundreds of characters
with automated multi-line layouts. Finally, through fine-tuning Glyph-SDXL with
a small set of high-quality, photorealistic images featuring visual text, we
showcase a substantial improvement in scene text rendering capabilities in
open-domain real images. These compelling outcomes aim to encourage further
exploration in designing customized text encoders for diverse and challenging
tasks.
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Zeyu Liu
claimed_verified
2025-03-25T14:36:45.607Z
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Zeyu Liu
user
shuidi0020
65f3b4173a0b542b87c5bd44
Weicong Liang
admin_assigned
2024-03-15T13:30:13.682Z
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Weicong Liang
user
kxqt
65f3b4173a0b542b87c5bd45
Zhanhao Liang
65f3b4173a0b542b87c5bd46
Chong Luo
65f3b4173a0b542b87c5bd47
Ji Li
claimed_verified
2024-06-13T18:36:59.879Z
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aaa
user
jiangsuliji
65f3b4173a0b542b87c5bd48
Gao Huang
65f3b4173a0b542b87c5bd49
Yuhui Yuan
admin_assigned
2024-03-15T13:30:52.020Z
646f69a6041e48e1c4728de3
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GlyphByT5
user
GlyphByT5
Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering
Visual text rendering poses a fundamental challenge for contemporary
text-to-image generation models, with the core problem lying in text encoder
deficiencies. To achieve accurate text rendering, we identify two crucial
requirements for text encoders: character awareness and alignment with glyphs.
Our solution involves crafting a series of customized text encoder, Glyph-ByT5,
by fine-tuning the character-aware ByT5 encoder using a meticulously curated
paired glyph-text dataset. We present an effective method for integrating
Glyph-ByT5 with SDXL, resulting in the creation of the Glyph-SDXL model for
design image generation. This significantly enhances text rendering accuracy,
improving it from less than 20% to nearly 90% on our design image
benchmark. Noteworthy is Glyph-SDXL's newfound ability for text paragraph
rendering, achieving high spelling accuracy for tens to hundreds of characters
with automated multi-line layouts. Finally, through fine-tuning Glyph-SDXL with
a small set of high-quality, photorealistic images featuring visual text, we
showcase a substantial improvement in scene text rendering capabilities in
open-domain real images. These compelling outcomes aim to encourage further
exploration in designing customized text encoders for diverse and challenging
tasks.
Customizing the ByT5 text encoder with Glyph-ByT5 and integrating it with SDXL significantly improves text rendering accuracy and paragraph rendering in design and real images.
text encoder Glyph-ByT5 ByT5 fine-tuning paired glyph-text dataset SDXL Glyph-SDXL text rendering accuracy automated multi-line layouts scene text rendering