Paper
BLOCK: An Open-Source Bi-Stage MLLM Character-to-Skin Pipeline for Minecraft
Authors
Hengquan Guo
Abstract
We present \textbf{BLOCK}, an open-source bi-stage character-to-skin pipeline that generates pixel-perfect Minecraft skins from arbitrary character concepts. BLOCK decomposes the problem into (i) a \textbf{3D preview synthesis stage} driven by a large multimodal model (MLLM) with a carefully designed prompt-and-reference template, producing a consistent dual-panel (front/back) oblique-view Minecraft-style preview; and (ii) a \textbf{skin decoding stage} based on a fine-tuned FLUX.2 model that translates the preview into a skin atlas image. We further propose \textbf{EvolveLoRA}, a progressive LoRA curriculum (text-to-image $\rightarrow$ image-to-image $\rightarrow$ preview-to-skin) that initializes each phase from the previous adapter to improve stability and efficiency. BLOCK is released with all prompt templates and fine-tuned weights to support reproducible character-to-skin generation.
Metadata
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"raw_xml": "<entry>\n <id>http://arxiv.org/abs/2603.03964v1</id>\n <title>BLOCK: An Open-Source Bi-Stage MLLM Character-to-Skin Pipeline for Minecraft</title>\n <updated>2026-03-04T11:55:32Z</updated>\n <link href='https://arxiv.org/abs/2603.03964v1' rel='alternate' type='text/html'/>\n <link href='https://arxiv.org/pdf/2603.03964v1' rel='related' title='pdf' type='application/pdf'/>\n <summary>We present \\textbf{BLOCK}, an open-source bi-stage character-to-skin pipeline that generates pixel-perfect Minecraft skins from arbitrary character concepts. BLOCK decomposes the problem into (i) a \\textbf{3D preview synthesis stage} driven by a large multimodal model (MLLM) with a carefully designed prompt-and-reference template, producing a consistent dual-panel (front/back) oblique-view Minecraft-style preview; and (ii) a \\textbf{skin decoding stage} based on a fine-tuned FLUX.2 model that translates the preview into a skin atlas image. We further propose \\textbf{EvolveLoRA}, a progressive LoRA curriculum (text-to-image $\\rightarrow$ image-to-image $\\rightarrow$ preview-to-skin) that initializes each phase from the previous adapter to improve stability and efficiency. BLOCK is released with all prompt templates and fine-tuned weights to support reproducible character-to-skin generation.</summary>\n <category scheme='http://arxiv.org/schemas/atom' term='cs.CV'/>\n <category scheme='http://arxiv.org/schemas/atom' term='cs.AI'/>\n <published>2026-03-04T11:55:32Z</published>\n <arxiv:primary_category term='cs.CV'/>\n <author>\n <name>Hengquan Guo</name>\n </author>\n </entry>"
}