mlsanityData to 14 Oct 2026

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

arXiv 2603.03964 ↗First posted 4 Mar 2026cs.CV cs.AIcited by 0

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Abstract (arXiv)

We present 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 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 skin decoding stage based on a fine-tuned FLUX.2 model that translates the preview into a skin atlas image. We further propose 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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 4 of its 5 references that are in the map. First posted on arXiv 4 Mar 2026.

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4 of 5 references.

References · 4

  1. 2023QLoRA: Efficient Finetuning of Quantized LLMscited by 3,418
  2. 2024DoRA: Weight-Decomposed Low-Rank Adaptationcited by 758
  3. 2023AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuningcited by 357
  4. 2023ReLoRA: High-Rank Training Through Low-Rank Updatescited by 204

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