Abstract: A common problem experienced when producing microwave components through additive manufacturing is the adhesion of printed dielectric substrates to a ground plane. This paper proposes a ...

Abstract: Automatic perception of human behaviors during social interactions is crucial for AR/VR applications, and an essential component is estimation of plausible 3D human pose and shape of our ...

Abstract: Generating 3D meshes from a single image is an important but ill-posed task. Existing methods mainly adopt 2D multiview diffusion models to generate intermediate multiview images, and use ...

Install dependences. This project is developed using >= python 3.8 on Ubuntu 16.04. NVIDIA GPUs are needed. We recommend you to use an Anaconda virtual environment.

TL; DR: CraftsMan (aka 匠心) is a two-stage text/image to 3D mesh generation model. By mimicking the modeling workflow of artist/craftsman, we propose to generate a coarse mesh (5s) with smooth geometry ...

Abstract: Radiologists use the standardized Lung-RADS clinical scoring criteria to assess and report spiculations/lobulations and sharp/curved spikes on the surface ...

Abstract: The recovery of 3D human mesh from monocular images has significantly been developed in recent years. However, existing models usually ignore spatial and temporal information, which might ...

Sponsored by Meshy. Unlock the fastest path from idea to 3D model with Meshy AI 5! In this Blue Lighting tutorial, we walk you through creating stunning, professional-quality 3D objects in just a few ...

Abstract: We present Deformable mesh transFormer (DeFormer), a novel vertex-based approach to monocular 3D human mesh recovery. DeFormer iteratively fits a body mesh model to an input image via a mesh ...

Abstract: Recent advancements in Transformer-based human mesh reconstruction (HMR) are commendable. However, these models often lift 2D images directly to 3D vertices without explicit intermediate ...