6 papers
Evaluating Mesh Reconstruction Methods for Crop Phenotyping
Karanvir Singh, Theo Morales, Binh-Son Hua +1
Phenotyping an agricultural crop is crucial for studying its entire life cycle, as it provides vital insights to improve yield and, ultimately, food production. Doing the same for…
TruncGradGS: Improved 3D Gaussian Splatting via Truncated Gradient Updates
Theo Morales, Nhat-Quynh Le-Pham, Robin Atkins +1
3D Gaussian Splatting has become a de facto scene representation for novel view synthesis, yet robustly learning 3D Gaussian primitives from visual input remains challenging. Stand…
SplatBus: A Gaussian Splatting Viewer Framework via GPU Interprocess Communication
Yinghan Xu, Théo Morales, John Dingliana
Radiance field-based rendering methods have attracted significant interest from the computer vision and computer graphics communities. They enable high-fidelity reconstruction with…
A Versatile and Differentiable Hand-Object Interaction Representation
Théo Morales, Omid Taheri, Gerard Lacey
Synthesizing accurate hands-object interactions (HOI) is critical for applications in Computer Vision, Augmented Reality (AR), and Mixed Reality (MR). Despite recent advances, the…
A new benchmark for group distribution shifts in hand grasp regression for object manipulation. Can meta-learning raise the bar?
Théo Morales, Gerard Lacey
Understanding hand-object pose with computer vision opens the door to new applications in mixed reality, assisted living or human-robot interaction. Most methods are trained and ev…
Image Generation for Efficient Neural Network Training in Autonomous Drone Racing
Theo Morales, Andriy Sarabakha, Erdal Kayacan
Drone racing is a recreational sport in which the goal is to pass through a sequence of gates in a minimum amount of time while avoiding collisions. In autonomous drone racing, one…