Search Results for author:
Found 7 papers, 3 papers with code
CoherentGS: Sparse Novel View Synthesis with Coherent 3D Gaussians
The field of 3D reconstruction from images has rapidly evolved in the past few years, first with the introduction of Neural Radiance Field (NeRF) and more recently with 3D Gaussian Splatting (3DGS).
DepthFM: Fast Monocular Depth Estimation with Flow Matching
Due to the generative nature of our approach, our model reliably predicts the confidence of its depth estimates.
Cross-Image-Attention for Conditional Embeddings in Deep Metric Learning
Experiments on established DML benchmarks show that our cross-attention conditional embedding during training improves the underlying standard DML pipeline significantly so that it outperforms the state-of-the-art.
Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes
There have been many successful implementations of neural style transfer in recent years.
A Content Transformation Block For Image Style Transfer
Recent work has significantly improved the representation of color and texture and computational speed and image resolution.
Content and Style Disentanglement for Artistic Style Transfer
We present a novel approach which captures particularities of style and the variations within and separates style and content.
A Style-Aware Content Loss for Real-time HD Style Transfer
These and our qualitative results ranging from small image patches to megapixel stylistic images and videos show that our approach better captures the subtle nature in which a style affects content.
