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Found 7 papers, 3 papers with code
ConsisLoRA: Enhancing Content and Style Consistency for LoRA-based Style Transfer
In this paper, we comprehensively analyze the limitations of the standard diffusion parameterization, which learns to predict noise, in the context of style transfer.
CoRe: Context-Regularized Text Embedding Learning for Text-to-Image Personalization
This is based on the insight that appropriate output vectors of the text encoder for the context tokens can only be achieved if the new concept's text embedding is correctly learned.
AttnDreamBooth: Towards Text-Aligned Personalized Text-to-Image Generation
We attribute these issues to the incorrect learning of the embedding alignment for the concept.
SketchBodyNet: A Sketch-Driven Multi-faceted Decoder Network for 3D Human Reconstruction
Compared with natural images, freehand sketches are much more flexible to depict various shapes, providing a high potential and valuable way for 3D human reconstruction.
KSS-ICP: Point Cloud Registration based on Kendall Shape Space
The point cloud representation in KSS is invariant to similarity transformations.
Reconstructing 3D Model from Single-View Sketch with Deep Neural Network
It creates the transformation representation of a sketch by extracting the shape features of an input sketch and transformation template samples.
Voxel Structure-based Mesh Reconstruction from a 3D Point Cloud
Mesh reconstruction from a 3D point cloud is an important topic in the fields of computer graphic, computer vision, and multimedia analysis.
