3 citations · 4 across the 3 of their papers we have counts for
4 papers · 1 filter
SketchDream: Sketch-based Text-to-3D Generation and Editing
Feng-Lin Liu, Hongbo Fu, Yu-Kun Lai +1
Existing text-based 3D generation methods generate attractive results but lack detailed geometry control. Sketches, known for their conciseness and expressiveness, have contributed…
Mesh-based Gaussian Splatting for Real-time Large-scale Deformation
Lin Gao, Jie Yang, Bo-Tao Zhang +4
Neural implicit representations, including Neural Distance Fields and Neural Radiance Fields, have demonstrated significant capabilities for reconstructing surfaces with complicate…
A Survey on Deep Geometry Learning: From a Representation Perspective
Yun-Peng Xiao, Yu-Kun Lai, Fang-Lue Zhang +2
Researchers have now achieved great success on dealing with 2D images using deep learning. In recent years, 3D computer vision and Geometry Deep Learning gain more and more attenti…
Learning Bidirectional LSTM Networks for Synthesizing 3D Mesh Animation Sequences
Yi-Ling Qiao, Lin Gao, Yu-Kun Lai +1
In this paper, we present a novel method for learning to synthesize 3D mesh animation sequences with long short-term memory (LSTM) blocks and mesh-based convolutional neural networ…