A5035046190- 3D Shape Modeling and Analysis
- Computer Graphics and Visualization Techniques
- Advanced Vision and Imaging
- 3D Surveying and Cultural Heritage
- CCD and CMOS Imaging Sensors
- Sports and Physical Education Research
- Virtual Reality Applications and Impacts
- Image Processing Techniques and Applications
The University of Tokyo
2024
Texas Tech University
1986
We present BlockFusion, a diffusion-based model that generates 3D scenes as unit blocks and seamlessly incorporates new to extend the scene. BlockFusion is trained using datasets of are randomly cropped from complete scene meshes. Through per-block fitting, all training converted into hybrid neural fields: with tri-plane containing geometry features, followed by Multi-layer Perceptron (MLP) for decoding signed distance values. A variational auto-encoder employed compress tri-planes latent...
We present Frankenstein, a diffusion-based framework that can generate semantic-compositional 3D scenes in single pass. Unlike existing methods output single, unified shape, Frankenstein simultaneously generates multiple separated shapes, each corresponding to semantically meaningful part. The scene information is encoded one tri-plane tensor, from which Signed Distance Function (SDF) fields be decoded represent the compositional shapes. During training, an auto-encoder compresses tri-planes...
A peripheral card has been designed to interface the Texas Instruments Professional Computer a standard RS-170 video camera, providing real-time digitization and storage of single field as 256 x 256, eight-bit pixel array. The digitizer is bus-compatible with any Intel 8088 microprocessor based microcomputer e.g. TI-PC or IBM-PC. At present, image processing system allows for high resolution four-bit display digitized sixteen grey levels monochrome monitor, color-mapped on color monitor....