Hitem3D 2.0
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Hitem3D 2.0升级:纹理从“贴”到“长”,革新高精度3D打印模型生产生态
Huan Qiu Wang· 2026-01-05 10:04
【环球网科技综合报道】在3D内容生成的演进历程中,行业的每一次跨越式发展,皆源于对数据密度 与真实世界建模逻辑的深度重构。从早期低多边形建模的探索,到高精度网格与扫描重建的进阶,再到 如今生成式方法的成熟应用,一个核心命题始终萦绕:数字模型究竟是停留在"模拟外观"的表层,还是 迈向"重建结构"的本质? 长期以来,行业普遍采用"几何先行、纹理后贴"的拆分式流程——先构建模型形体,再通过贴图赋予表 面细节。这种模式虽在效率上具备一定优势,却在结构合理性、不可见区域补全、打印稳定性等关键环 节暗藏瓶颈。当模型进入实际打印、制造或高保真输出阶段,这种割裂性往往导致额外的修复成本与不 可控风险,成为制约行业发展的痛点。 如今,随着算力提升与学习数据规模的爆发式增长,Hitem3D 2.0重磅发布。其全新一体化1536³Pro分辨 率PBR纹理生成技术,实现了从"贴图附着"到"结构生长"的根本性转变,让系统首次具备在结构层面把 控纹理生成合理性的核心能力。纹理不再是独立于几何的表层装饰,而是与几何形态、空间尺度、材质 属性深度融合的有机组成部分,在带来极致真实视觉质感的同时,为后续3D打印与规模化制造奠定了 稳定可控的模 ...
AI三维建模迈入“雕刻级”时代:Hitem3D 2.0版本用一体化纹理生成技术突破高精度3D生成瓶颈
Xin Lang Cai Jing· 2025-12-31 13:47
(来源:六安新闻网) 转自:六安新闻网 如果你观察过现实世界的物体,会发现颜色从来不是"贴"在表面的。木纹随纤维延伸,金属的锈迹由内 而外渗透——这种物理上的连贯性,正是过去AI 3D模型最难翻越的一座山。 过去的生成技术更像是做"纸扎",骨架是骨架,外壳是外壳。而最新发布的Hitem3D 2.0,尝试用一种 更符合物理逻辑的方式重构3D生成。依托一体化1536^3Pro分辨率PBR纹理生成技术,我们让纹理与结 构实现了一次深度耦合。系统通过深度学习感知空间连续性,同步推算微观几何、尺度与物理属性。无 论是精密机甲关节还是文物微瑕,均能实现高保真重构。 模型纹理不再是生硬地"贴上去",而是基于对空间密度的深度理解,从几何结构中"生长"出来。当你放 大Hitem3D 2.0 生成的模型,你看到的不再是像素点的生硬拼凑,而是富有生命力的、具备工程可靠性 的真实细节。 以往的 AI 算法在面对这类多层嵌套、充满复杂遮挡关系的物体时,往往会"偷懒":背部的缝隙经常粘 连成团,裙甲内侧更是容易出现漆面严重拉伸或难看的黑色的色块,像是一张被扯坏的贴纸。而从法线 图中可以清晰看到,Hitem3D 2.0 凭借对空间结构的深 ...
From “slapped on” to “grown in”: Hitem3D 2.0 bets integrated texture generation can make AI 3D assets actually printable
Globenewswire· 2025-12-31 08:55
Core Insights - Hitem3D has launched Hitem3D 2.0, which integrates texture generation directly with geometry, aiming to improve the quality and usability of 3D models for production workflows [3][5][22] - The new version addresses common issues in 3D printing, such as texture misalignment and missing details, by generating textures during geometry reconstruction [9][12][20] - Hitem3D 2.0 emphasizes structural integrity and material consistency, moving beyond mere aesthetic improvements to ensure models are production-ready [22][23] Technology and Features - The integrated texture generation operates at a resolution of 1536³ Pro, allowing textures to be inherently tied to the object's geometry and material logic [3][5] - The system is trained on a large dataset to learn spatial continuity and surface logic, reducing common projection failures like stretching and distortion [12][14] - Hitem3D 2.0 introduces illumination-aware semantic recognition, which helps create a uniform base for downstream workflows, addressing issues with inconsistent material responses [14][15] Production Capabilities - The software supports automated export for multi-material printing, allowing for assets to be structured for 4, 8, or 16 materials, facilitating a smoother transition into production pipelines [20][24] - Hitem3D 2.0 includes features like semantic 3D model segmentation and automatic retopology, aimed at enhancing manufacturing-oriented workflows [24] - The system is designed to integrate seamlessly into existing creator workflows, with a Blender add-on that minimizes context switching [21][22] Market Positioning - Hitem3D positions its technology as a bridge between AI-generated assets and reliable production capabilities, focusing on usability rather than just visual appeal [22][25] - The company aims to transition 3D generation from a novelty to a dependable tool for B2B production, addressing the rigorous demands of industrial workflows [23][25]