DeepMesh uses RL to auto‑regressively craft artist‑grade meshes from point clouds
DeepMesh introduces a transformer that predicts mesh tokens sequentially and then refines them with reinforcement learning via Direct Preference Optimization. By combining a novel tokenization pipeline with human‑aligned scoring, it produces high‑detail, topologically sound meshes that beat current auto‑regressive methods on precision and visual quality.