Xiaomin Cheng

Title: Innovations of Xiaomin Cheng in Neural Radiation Field Reconstruction

Introduction

Xiaomin Cheng is an accomplished inventor based in Zhejiang, China. He has made significant contributions to the field of neural radiation field reconstruction, showcasing his expertise through innovative methodologies.

Latest Patents

Xiaomin Cheng holds a patent for a "Generalizable neural radiation field reconstruction method based on multi-modal information fusion." This patent outlines a comprehensive approach that includes several key steps. The first step involves constructing photometric and geometric features from unstructured multi-views, followed by the creation of a multi-modal neural encoder through complementary fusion of these features. The second step converts the encoder and raw RGB pixel data into volume density and radiation brightness. The third step samples light based on the encoder, aggregating context features using a transformer network. Finally, the fourth step decodes the light context features to render a free-view RGB-D image, guiding the dense reconstruction of low-texture scenes through a combination of photometric and geometric supervision.

Career Highlights

Xiaomin Cheng is affiliated with Hangzhou City University, where he continues to advance his research and development in innovative technologies. His work has garnered attention for its potential applications in various fields, including computer vision and graphics.

Collaborations

Xiaomin Cheng collaborates with notable colleagues, including Junjie Jiang and Anping Wan, who contribute to his research endeavors and enhance the collaborative environment within their institution.

Conclusion

Xiaomin Cheng's innovative work in neural radiation field reconstruction exemplifies the intersection of technology and creativity. His contributions are paving the way for advancements in multi-modal information fusion and its applications in imaging technologies.