5 papers
A General-Purpose VLM Can Teach an Astronomy Foundation Model to Better Recognize Galaxy Morphology
Dichang Zhang, Jiaqi Deng, Yixuan Shao +7
Existing astronomy foundation models provide strong galaxy representations, but adapting them to new survey conditions and survey-specific morphology recognition tasks still requir…
Inverse Rendering for High-Genus 3D Surface Meshes from Multi-view Images with Persistent Homology Priors
Xiang Gao, Xinmu Wang, Yuanpeng Liu +4
Reconstructing 3D objects from images is inherently an ill-posed problem due to ambiguities in geometry, appearance, and topology. This paper introduces collaborative inverse rende…
Learning Domain Agnostic Latent Embeddings of 3D Faces for Zero-shot Animal Expression Transfer
Yue Wang, Lawrence Amadi, Xiang Gao +4
We present a zero-shot framework for transferring human facial expressions to 3D animal face meshes. Our method combines intrinsic geometric descriptors (HKS/WKS) with a mesh-agnos…
Inverse Rendering for High-Genus Surface Meshes from Multi-View Images
Xiang Gao, Xinmu Wang, Xiaolong Wu +8
We present a topology-informed inverse rendering approach for reconstructing high-genus surface meshes from multi-view images. Compared to 3D representations like voxels and point…
Neural Geometry Image-Based Representations with Optimal Transport (OT)
Xiang Gao, Yuanpeng Liu, Xinmu Wang +7
Neural representations for 3D meshes are emerging as an effective solution for compact storage and efficient processing. Existing methods often rely on neural overfitting, where a…