4 papers
Recent Advances and Trends in Learning-based 3D Representations
Adrien Schockaert, Hamid Laga, Hazem Wannous +3
The selection of an appropriate 3D representation is a fundamental design decision that dictates the efficiency, quality, and capabilities of modern computer vision and graphics pi…
GNF: Gaussian Neural Fields for Multidimensional Signal Representation and Reconstruction
Abdelaziz Bouzidi, Hamid Laga, Hazem Wannous +1
Neural fields have emerged as a powerful framework for representing continuous multidimensional signals such as images and videos, 3D and 4D objects and scenes, and radiance fields…
Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals
Ziqi Li, Abderraouf Amrani, Shri Rai +1
Reconstructing the 3D geometry, pose, and motion of animals is a long-standing problem, which has a wide range of applications, from biology, livestock management, and animal conse…
Normal-guided Detail-Preserving Neural Implicit Function for High-Fidelity 3D Surface Reconstruction
Aarya Patel, Hamid Laga, Ojaswa Sharma
Neural implicit representations have emerged as a powerful paradigm for 3D reconstruction. However, despite their success, existing methods fail to capture fine geometric details a…