1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2024
EucliDreamer: Fast and High-Quality Texturing for 3D Models with Depth-Conditioned Stable Diffusion
Cindy Le, Congrui Hetang, Chendi Lin +2
We present EucliDreamer, a simple and effective method to generate textures for 3D models given text prompts and meshes. The texture is parametrized as an implicit function on the…
cs.CV2024★ 1 cited
Segment Anything Model for Road Network Graph Extraction
Congrui Hetang, Haoru Xue, Cindy Le +3
We propose SAM-Road, an adaptation of the Segment Anything Model (SAM) for extracting large-scale, vectorized road network graphs from satellite imagery. To predict graph geometry,…