37 citations · 37 across the 3 of their papers we have counts for
4 papers
NAMVIS: Next-Scale Autoregressive Multi-View Image Synthesis
Ramil Khafizov, Ilya Statsenko, Ruslan Rakhimov +3
Sparse-view novel view synthesis is a central problem in 3D content creation, but diffusion-based approaches remain limited by iterative denoising, making multi-view generation exp…
G-CUT3R: Guided 3D Reconstruction with Camera and Depth Prior Integration
Ramil Khafizov, Artem Komarichev, Ruslan Rakhimov +2
We introduce G-CUT3R, a novel feed-forward approach for guided 3D scene reconstruction that enhances the CUT3R model by integrating prior information. Unlike existing feed-forward…
T-3DGS: Removing Transient Objects for 3D Scene Reconstruction
Alexander Markin, Vadim Pryadilshchikov, Artem Komarichev +3
Transient objects in video sequences can significantly degrade the quality of 3D scene reconstructions. To address this challenge, we propose T-3DGS, a novel framework that robustl…
A-CNN: Annularly Convolutional Neural Networks on Point Clouds
Artem Komarichev, Zichun Zhong, Jing Hua
Analyzing the geometric and semantic properties of 3D point clouds through the deep networks is still challenging due to the irregularity and sparsity of samplings of their geometr…