Deformable Triangle Splatting: Flexible Primitives for Real-Time Radiance Field Rendering

arXiv · Oriol Jiménez-Ayguadé · 2d ago · 1 min · 0 views

Signal strength 17/100

Recent radiance field methods represent scenes with 2D primitives that offer surface alignment and efficient rasterization, from Gaussian disks to triangles, yet all rely on convex boundaries: curved and concave structures demand excessive primitives. We…

PRISM indexes and ranks — it never republishes. The full piece lives with its author on arxiv.org.

Read on arxiv.org

#cs-cv #cs-gr #paper #ai

↳

Same wavelength

Stories the engine considers adjacent to this one.

Research arXiv 2d ago

Robot-Factored World Models via Robot Rendering

Action-conditioned video world models predict future observations from an initial observation and an action signal. In robotics, actions influence future observations through two distinct processes: they are first realized into robot motion by the robot body…

1 min 0 views

Research arXiv 2d ago

Twins: Learn to Predict Unified Representations with Focal Loss

Unified multimodal models seek a shared visual token space that supports both multimodal understanding and image generation. Discrete methods unify the interface via a shared codebook, whereas continuous pipelines often rely on two disparate representations…

1 min 0 views

Research arXiv 2d ago

CARA: Concept-Aware Risk Attention for Interpretable Collision Anticipation

Collision anticipation in autonomous driving requires not only accurate early warnings but also interpretable reasoning about what risk factors are being tracked and how risk evolves over time. Existing methods fall short in this regard: feature-driven models…

1 min 0 views

Research arXiv 2d ago

Optimal Transport Image Representation and Deep Covariance Alignment (CORAL) for Control Valve Stiction Detection

Control valve stiction is a common cause of unwanted oscillations and poor control-loop performance in industrial processes. Data-driven methods can automatically detect stiction, but models trained purely on simulated data often struggle to generalize to…

1 min 0 views