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TZID:Asia/Hong_Kong
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DTSTART:19911015T033000
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BEGIN:VEVENT
DTSTAMP:20251218T030332Z
LOCATION:Meeting Room S423+S424\, Level 4
DTSTART;TZID=Asia/Hong_Kong:20251215T163000
DTEND;TZID=Asia/Hong_Kong:20251215T173500
UID:siggraphasia_SIGGRAPH Asia 2025_sess113@linklings.com
SUMMARY:Smart Process Planning for Manufacturing
DESCRIPTION:The Technical Papers program is the heartbeat of SIGGRAPH Asia
 , spotlighting world-class scholarly research at the forefront of computer
  graphics and interactive techniques. For decades, it has been the definit
 ive venue where bold ideas take root, foundational concepts are reimagined
 , and the future of visual computing is shaped.\n\nThis year, we explore n
 ew intersections of algorithms and artistry, automation and authorship, to
 ols and imagination – challenging the very way we design, simulate, visual
 ize, and interact with digital worlds.\n\nChapper: Carvable Hull-and-Pack 
 for Subtractive Manufacturing\n\nTightly cutting raw materials into a set 
 of carvable objects, known as the stock cutting problem, is a necessary st
 ep in subtractive manufacturing. This problem can be framed as a 3D irregu
 lar object packing task, aiming to fit as many objects as possible within 
 a predefined container. While previou...\n\n\nZhenmin Zhang, Shuai Feng, H
 ao Xu, Lujiaoyang Fu, and Lin Lu (Shandong University); Jianwei Guo (Beiji
 ng Normal University); and Haisen Zhao (Shandong University)\n------------
 ---------\nCan Any Model Be Fabricated? Inverse Operation Based Planning f
 or Hybrid Additive–Subtractive Manufacturing\n\nThis paper presents a meth
 od for computing interleaved additive and subtractive manufacturing operat
 ions to fabricate models of arbitrary shapes. We formulate the manufacturi
 ng planning problem by constructing a sequence of inverse operations that 
 progressively transform a target model into a null s...\n\n\nYongxue Chen,
  Tao Liu, Yuming Huang, Weiming Wang, Tianyu Zhang, Kun Qian, Zikang Shi, 
 and Charlie C.L. Wang (The University of Manchester)\n--------------------
 -\nWaste-to-Value: Reutilized Material Maximization for Additive and Subtr
 active Hybrid Remanufacturing\n\nRemanufacturing effectively extends compo
 nent lifespans by restoring used or end-of-life parts to like-new or even 
 superior conditions, with an emphasis on maximizing reutilized material, e
 specially for high-cost materials. Hybrid manufacturing technology combine
 s the capabilities of additive and su...\n\n\nFanchao Zhong, Zhenmin Zhang
 , Liyuan Wang, Xin Yan, Jikai Liu, Lin Lu, and Haisen Zhao (Shandong Unive
 rsity)\n---------------------\nMiGumi: Making Tightly Coupled Integral Joi
 nts Millable\n\nTraditional integral wood joints, despite their strength, 
 durability, and elegance, remain rare in modern workflows due to the cost 
 and difficulty of manual fabrication. CNC milling offers a scalable altern
 ative, but directly milling traditional joints often fails to produce func
 tional results\nbecau...\n\n\nAditya Ganeshan (Brown University), Kurt Fle
 ischer (Pixar Animation Studios), Wenzel Jakob (École Polytechnique Fédéra
 le de Lausanne (EPFL)), Ariel Shamir (Reichman University), Daniel Ritchie
  (Brown University), and Takeo Igarashi and Maria Larsson (University of T
 okyo)\n---------------------\nCurve-Based Slicer for Multi-Axis DLP 3D Pri
 nting\n\nThis paper introduces a novel curve-based slicing method for gene
 rating planar layers with dynamically varying orientations in digital ligh
 t processing (DLP) 3D printing. Our approach effectively addresses key cha
 llenges in DLP printing, such as regions with large overhangs and staircas
 e artifacts, ...\n\n\nChengkai Dai (Centre for Perceptual and Interactive 
 Intelligence (CPII) Limited); Liu Tao (The University of Manchester); Dezh
 ao Guo and Binzhi Sun (The Chinese University of Hong Kong); Guoxin Fang a
 nd Yeung Yam (The Chinese University of Hong Kong, Centre for Perceptual a
 nd Interactive Intelligence (CPII) Limited); and Charlie C.L. Wang (Univer
 sity of Manchester)\n---------------------\nINF-3DP: Implicit Neural Field
 s for Collision-Free Multi-Axis 3D Printing\n\nWe introduce a general, sca
 lable computational framework for multi-axis 3D printing based on implicit
  neural fields (INFs) that unifies all stages of toolpath generation and g
 lobal collision-free motion planning. In our pipeline, input models are re
 presented as signed distance fields, with fabricati...\n\n\nJiasheng Qu, Z
 huo Huang, Dezhao Guo, and Hailin Sun (Chinese University of Hong Kong); A
 oran Lyu (University of Manchester); Chengkai Dai (Centre for Perceptual a
 nd Interactive Intelligence (CPll) Limited); and Yeung Yam and Guoxin Fang
  (Chinese University of Hong Kong, Centre for Perceptual and Interactive I
 ntelligence (CPII) Limited)\n\nRegistration Category: Full Access, Full Ac
 cess Supporter\n\nSession Chair: Peng Song (Singapore University of Techno
 logy and Design (SUTD))
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