AI 中文总结
ResemBrick将离散化与组装耦合，通过预算占用补全和可建造性构建，生成兼具感知保真度与可建造性的积木模型，性能优于现有系统。
AI 中文摘要
从几张随手拍摄的照片生成可手工搭建的彩色积木模型，是应对更广泛挑战的理想测试平台：在离散、预算受限的体素网格下生成满足严格物理组装约束的3D内容。在粗网格上，视觉相似性与结构稳定性相互制约，但现有积木生成管道仅关注其中一方，且将体素化视为固定预处理步骤而非可优化变量。我们提出ResemBrick，将两者结合。预算占用补全将离散化重新定义为资源分配：给定目标占用体素数量，一个跨13种分辨率的单条件网络可在一次前向传播中决定填充哪些表面体素以获得最佳外观。可建造性构建则结合了支持感知与前瞻感知的贪心放置，以及确定性、可证明终止的修复机制，确保每个悬空部件都有支撑。在匹配预算下，ResemBrick在感知保真度上优于现有体素选择器，且在未过滤的测试对象上唯一实现零悬空、零不稳定积木；作为完整管道，它在现有积木构建系统中达到最佳感知保真度。我们的结果表明应将离散化与组装视为紧密耦合的阶段而非独立阶段。
英文摘要
Producing a hand-buildable, colored brick model of a 3D object from a few casual photographs is a clean testbed for a broader challenge: generating 3D content that meets hard physical-assembly constraints under a discrete, budget-limited voxel grid. On a coarse lattice, visual resemblance and structural stability pull against each other, yet prior brick pipelines address only one side and treat voxelization as fixed preprocessing rather than a variable to optimize. We present ResemBrick, which couples the two. Budgeted occupancy completion reframes discretization as allocation: given a target occupied-voxel count, a single resolution-conditioned network decides in one feed-forward pass which surface voxels to fill for best appearance, one weight set spanning 13 resolutions. Buildability by construction then combines support- and look-ahead-aware greedy placement with a deterministic, provably terminating repair that grounds every floating component. Under a matched budget, ResemBrick surpasses existing voxel selectors in perceptual fidelity while uniquely reaching zero floating and zero unstable bricks on unfiltered held-out objects; as a complete pipeline, it attains the best perceptual fidelity among prior brick-construction systems. Our results point to treating discretization and assembly as tightly coupled stages rather than independent ones.
