CVAIMar 4

BLOCK: An Open-Source Bi-Stage MLLM Character-to-Skin Pipeline for Minecraft

arXiv:2603.03964v1h-index: 1Has Code
Originality Incremental advance
AI Analysis

This work addresses the problem of generating Minecraft skins for gamers and content creators, providing an incremental solution to existing character-to-skin generation methods.

The BLOCK pipeline generates pixel-perfect Minecraft skins from character concepts, achieving this through a two-stage process. The pipeline's effectiveness is demonstrated through its ability to produce consistent and accurate skins.

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.

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