3 papers
cs.GR2026
Learning View-Dependent Splatting Kernels
Huakeng Ding, Zhanpeng Liu, Fan Pei +2
We present a differentiable framework to automatically learn view-dependent 2D kernels in a splatting-based pipeline to improve reconstruction quality and representation efficiency…
cs.CV2026
Differentiable Adaptive 4D Structured Illumination for Joint Capture of Shape and Reflectance
Huakeng Ding, Yaowen Chen, Kun Zhou +1
We present a differentiable framework to adaptively compute 4D illumination conditions with respect to an object, for efficient, high-quality simultaneous acquisition of its shape…
cs.CV2024
Learning Photometric Feature Transform for Free-form Object Scan
Xiang Feng, Kaizhang Kang, Fan Pei +5
We propose a novel framework to automatically learn to aggregate and transform photometric measurements from multiple unstructured views into spatially distinctive and view-invaria…