Papers with image segmentation

2 papers
UNIMO-G: Unified Image Generation through Multimodal Conditional Diffusion (2024.acl-long)

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Challenge: Existing text-to-image diffusion models generate images from text prompts due to inherent brevity of textual descriptions . however, the ability to accurately synthesize images with intricate details, such as specific entities or scenes, is limited due to the inherent bribery of text descriptions.
Approach: They propose a multimodal conditional diffusion framework that operates on multimodal prompts with interleaved textual and visual inputs.
Outcome: The proposed framework excels in both text-to-image generation and zero-shot subject-driven synthesis.
NusaAksara: A Multimodal and Multilingual Benchmark for Preserving Indonesian Indigenous Scripts (2025.acl-long)

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Challenge: NusaAksara covers 8 scripts across 7 languages, including low-resource languages not commonly seen in NLP benchmarks.
Approach: They propose a benchmark for Indonesian scripts that includes their original scripts and a dataset that includes 8 scripts across 7 languages.
Outcome: The proposed benchmark covers 8 scripts across 7 languages, including low-resource languages not commonly seen in NLP benchmarks.

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