🔥 TriSplat: Simulation-Ready Feed-Forward 3D Scene Reconstruction

💡 The paper presents TriSplat, a feed-forward 3D reconstruction network that generates simulation-ready meshes from single images. The problem addressed is that existing methods for 3D reconstruction require expensive post-processing steps to extract a usable mesh for simulation or physics reasoning. Most existing methods use Gaussian primitives and do not directly expose surfaces, making it difficult to obtain a simulation-ready mesh.

The method proposed in the paper uses oriented triangle primitives to represent scenes and directly exports simulation-ready mesh scenes from a single forward pass. The network predicts local 3D point maps, triangle attributes, camera poses, and optional intrinsics from input images. The approach constructs geometry normals from the predicted point maps, refines them with an image-conditioned normal head, and converts them into stable local frames for triangle parameterization.

The results show that the proposed representation produces more geometry-faithful reconstructions than Gaussian feed-forward baselines while maintaining competitive novel-view rendering quality. The output of the network can be directly ingested by physics engines, collision detectors, and standard rendering pipelines without any conversion, making it a practical simulation-ready solution for feed-forward 3D scene reconstruction. The experiments were conducted on RealEstate10K and DL3DV datasets and demonstrate the effectiveness of the proposed approach. Overall, the paper contributes a novel method for 3D scene reconstruction that bypasses expensive post-processing steps and directly generates simulation-ready meshes from single images.

📅 Published on May 25

🔗 Links:
• GitHub: https://github.com/huggingface
• arXiv: https://arxiv.org/abs/2605.26115
• PDF: https://arxiv.org/pdf/2605.26115
• Project Page: https://lhmd.top/trisplat/#interactive

🤖 Models citing this paper:
• https://huggingface.co/lhmd/TriSplat

📊 Datasets citing this paper:
• https://huggingface.co/datasets/lhmd/re10k_torch

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📢 By: https://xn--r1a.website/PaperNexus

#3DSceneReconstruction #SimulationReadyMeshes #FeedForwardNetworks #TrianglePrimitives #ComputerVision