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Found 4 papers, 0 papers with code
Enhancing Texture Generation with High-Fidelity Using Advanced Texture Priors
Moreover, background noise frequently arises in high-resolution texture synthesis, limiting the practical application of these generation technologies. In this work, we propose a high-resolution and high-fidelity texture restoration technique that uses the rough texture as the initial input to enhance the consistency between the synthetic texture and the initial texture, thereby overcoming the issues of aliasing and blurring caused by the user's structure simplification operations.
MetaDreamer: Efficient Text-to-3D Creation With Disentangling Geometry and Texture
In the second stage, we concentrate on fine-tuning the geometry and optimizing the texture, thereby achieving a more refined 3D object.
Missing-modality Enabled Multi-modal Fusion Architecture for Medical Data
This study aimed to develop an efficient multi-modal fusion architecture for medical data that was robust to missing modalities and further improved the performance on disease diagnosis. X-ray chest radiographs for the image modality, radiology reports for the text modality, and structured value data for the tabular data modality were fused in this study.
Multi-scale Geometry-aware Transformer for 3D Point Cloud Classification
At first, the MGT divides point cloud data into patches with multiple scales.
