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Found 6 papers, 1 papers with code
AnyDressing: Customizable Multi-Garment Virtual Dressing via Latent Diffusion Models
Additionally, we introduce a Garment-Enhanced Texture Learning strategy to improve the fine-grained texture details of garments.
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction
In this paper, we introduce 2DGS-Room, a novel method leveraging 2D Gaussian Splatting for high-fidelity indoor scene reconstruction.
Constraint Learning for Parametric Point Cloud
Stage 1 extracts constraints from B-Rep data or point cloud.
Training-Free Point Cloud Recognition Based on Geometric and Semantic Information Fusion
For the geometric branch, we adopt a non-parametric strategy to extract geometric features.
Freehand Sketch Generation from Mechanical Components
To address this issue, we design a two-stage generative framework mimicking the human sketching behavior pattern, called MSFormer, which is the first time to produce humanoid freehand sketches tailored for mechanical components.
GaussianRoom: Improving 3D Gaussian Splatting with SDF Guidance and Monocular Cues for Indoor Scene Reconstruction
However, when it comes to indoor scenes with a significant number of textureless areas, 3DGS yields incomplete and noisy reconstruction results due to the poor initialization of the point cloud and under-constrained optimization.
