Controllable Grasp Generation
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Benchmarks
GRAB
결과 8개
Papers
DCGrasp: Distance-aware Controllable Grasp Generation
2026-06-29
· Hiroyasu Akada, Jesús Pérez, Emre Aksan, Vasileios Choutas 외
arxiv
Generating 3D hand-object interactions is essential for applications in robotics, XR, and synthetic data generation, where flexible controllability and strong generalization to diverse object geometries are required. How…
Controllable Grasp GenerationSynthetic Data GenerationClickDiff: Click to Induce Semantic Contact Map for Controllable Grasp Generation with Diffusion Models
2024-07-28
· Peiming Li, Ziyi Wang, Mengyuan Liu, Hong Liu 외
Grasp generation aims to create complex hand-object interactions with a specified object. While traditional approaches for hand generation have primarily focused on visibility and diversity under scene constraints, they …
Controllable Grasp GenerationGrasp GenerationObject