261 citations · 373 across the 20 of their papers we have counts for
7 papers · 2 filters
Stereo relative pose from line and point feature triplets
Alexander Vakhitov, Victor Lempitsky, Yinqiang Zheng
Stereo relative pose problem lies at the core of stereo visual odometry systems that are used in many applications. In this work, we present two minimal solvers for the stereo rela…
Neural Point-Based Graphics
Kara-Ali Aliev, Artem Sevastopolsky, Maria Kolos +2
We present a new point-based approach for modeling the appearance of real scenes. The approach uses a raw point cloud as the geometric representation of a scene, and augments each…
Textured Neural Avatars
Aliaksandra Shysheya, Egor Zakharov, Kara-Ali Aliev +9
We present a system for learning full-body neural avatars, i.e. deep networks that produce full-body renderings of a person for varying body pose and camera position. Our system ta…
Learnable Triangulation of Human Pose
Karim Iskakov, Egor Burkov, Victor Lempitsky +1
We present two novel solutions for multi-view 3D human pose estimation based on new learnable triangulation methods that combine 3D information from multiple 2D views. The first (b…
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
Egor Zakharov, Aliaksandra Shysheya, Egor Burkov +1
Several recent works have shown how highly realistic human head images can be obtained by training convolutional neural networks to generate them. In order to create a personalized…
Instance Segmentation of Biological Images Using Harmonic Embeddings
Victor Kulikov, Victor Lempitsky
We present a new instance segmentation approach tailored to biological images, where instances may correspond to individual cells, organisms or plant parts. Unlike instance segment…