activity
20202023
most citedRePose: Learning Deep Kinematic Priors for Fast Human Pose Estimation

9 citations · 20 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 1 cited

Personalized Face Inpainting with Diffusion Models by Parallel Visual Attention

Jianjin Xu, Saman Motamed, Praneetha Vaddamanu +4

Face inpainting is important in various applications, such as photo restoration, image editing, and virtual reality. Despite the significant advances in face generative models, ens…

cs.CV2022★ 5 cited

SSDNeRF: Semantic Soft Decomposition of Neural Radiance Fields

Siddhant Ranade, Christoph Lassner, Kai Li +4

Neural Radiance Fields (NeRFs) encode the radiance in a scene parameterized by the scene's plenoptic function. This is achieved by using an MLP together with a mapping to a higher-…

cs.CV2021

Multiresolution Deep Implicit Functions for 3D Shape Representation

Zhang Chen, Yinda Zhang, Kyle Genova +7

We introduce Multiresolution Deep Implicit Functions (MDIF), a hierarchical representation that can recover fine geometry detail, while being able to perform global operations such…

eess.IV2020★ 5 cited

Deep Implicit Volume Compression

Danhang Tang, Saurabh Singh, Philip A. Chou +11

We describe a novel approach for compressing truncated signed distance fields (TSDF) stored in 3D voxel grids, and their corresponding textures. To compress the TSDF, our method re…

cs.CV2020★ 9 cited

RePose: Learning Deep Kinematic Priors for Fast Human Pose Estimation

Hossam Isack, Christian Haene, Cem Keskin +4

We propose a novel efficient and lightweight model for human pose estimation from a single image. Our model is designed to achieve competitive results at a fraction of the number o…