most citedHandOcc: NeRF-based Hand Rendering with Occupancy Networks

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

HuGeDiff: 3D Human Generation via Diffusion with Gaussian Splatting

Maksym Ivashechkin, Oscar Mendez, Richard Bowden

3D human generation is an important problem with a wide range of applications in computer vision and graphics. Despite recent progress in generative AI such as diffusion models or…

cs.CV2025

SignSplat: Rendering Sign Language via Gaussian Splatting

Maksym Ivashechkin, Oscar Mendez, Richard Bowden

State-of-the-art approaches for conditional human body rendering via Gaussian splatting typically focus on simple body motions captured from many views. This is often in the contex…

cs.CV2025★ 1 cited

HandOcc: NeRF-based Hand Rendering with Occupancy Networks

Maksym Ivashechkin, Oscar Mendez, Richard Bowden

We propose HandOcc, a novel framework for hand rendering based upon occupancy. Popular rendering methods such as NeRF are often combined with parametric meshes to provide deformabl…

cs.RO2024

The Radiance of Neural Fields: Democratizing Photorealistic and Dynamic Robotic Simulation

Georgina Nuthall, Richard Bowden, Oscar Mendez

As robots increasingly coexist with humans, they must navigate complex, dynamic environments rich in visual information and implicit social dynamics, like when to yield or move thr…

cs.CV2024

Two Hands Are Better Than One: Resolving Hand to Hand Intersections via Occupancy Networks

Maksym Ivashechkin, Oscar Mendez, Richard Bowden

3D hand pose estimation from images has seen considerable interest from the literature, with new methods improving overall 3D accuracy. One current challenge is to address hand-to-…