AI RESEARCH
Sculpt4D: Generating 4D Shapes via Sparse-Attention Diffusion Transformers
arXiv CS.CV
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ArXi:2604.21592v1 Announce Type: new Recent breakthroughs in 3D generative modeling have yielded remarkable progress in static shape synthesis, yet high-fidelity dynamic 4D generation remains elusive, hindered by temporal artifacts and prohibitive computational demand. We present Sculpt4D, a native 4D generative framework that seamlessly integrates efficient temporal modeling into a pretrained 3D Diffusion Transformer (Hunyuan3D 2.1), thereby mitigating the scarcity of 4D