AI RESEARCH
ClothTransformer: Unified Latent-Space Transformers for Scalable Cloth Simulation
arXiv CS.CV
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ArXi:2605.27852v1 Announce Type: cross Unified and scalable Transformers have recently achieved remarkable success in modeling diverse phenomena traditionally associated with computer graphics, such as 3D visual effects, rendering processes, and motion in videos. In this work, we take a step further by investigating whether modern Transformer techniques can tackle the challenging task of cloth simulation. To this end, we present ClothTransformer, a framework that reformulates cloth simulation as autoregressive sequence modeling in a learned latent space.