Results 41 to 50 of about 201 (133)
NePO: Neural Point Octrees for Large‐Scale Novel View Synthesis
We introduce Neural Point Octrees (NePOs), a scalable radiance field representation that organises point clouds hierarchically for efficient optimisation and rendering of large scale scenes. NePOs enable level of detail selection, joint refinement of appearance and camera poses, and real‐time rendering of hundreds of millions of points.
Noah Lewis +3 more
wiley +1 more source
EvolvED: Evolutionary Embeddings to Understand the Generation Process of Diffusion Models
EvolvED visualises how diffusion models generate images by embedding intermediate outputs to preserve semantics and evolutionary structure. It supports analysis via (a) user‐defined goals and prompts, (b) sampling intermediate images, (c) extracting relevant features, and (d) visualising them in structured radial and rectilinear layouts for ...
Vidya Prasad +5 more
wiley +1 more source
A Real‐Time Multi‐Scale Neural Representation for Complex Surface Reflectance
Abstract Recent machine learning methods have significantly advanced the state of the art in the classic problem of representing surface appearance over angle, space, and scale. The models tend, however, to be relatively heavy compared to traditional fixed‐function representations, making real‐time application challenging.
Heikki Timonen +2 more
wiley +1 more source
OUGS: Active View Selection via Object‐aware Uncertainty Estimation in 3DGS
Abstract Recent advances in 3D Gaussian Splatting (3DGS) have achieved state‐of‐the‐art results for novel view synthesis. However, efficiently capturing high‐fidelity reconstructions of specific objects within complex scenes remains a significant challenge.
Haiyi Li +3 more
wiley +1 more source
Non‐Rigid 3D Shape Correspondences: From Foundations to Open Challenges and Opportunities
Abstract Estimating correspondences between deformed shape instances is a long‐standing problem in computer graphics; numerous applications, from texture transfer to statistical modelling, rely on recovering an accurate correspondence map. Many methods have thus been proposed to tackle this challenging problem from varying perspectives, depending on ...
A. Zhuravlev +14 more
wiley +1 more source
Abstract Historical biogeography faces a persistent conceptual and methodological dilemma concerning the nature of its central analytical units. Using the recent proposal by Schultz and Cracraft (Cladistics 40, 653) as a catalyst, this article critiques the argument that causal inference necessitates the replacement of areas of endemism with barriers ...
Augusto Ferrari
wiley +1 more source
Abstract Despite increasing demands for resilient and sustainable supply chains, inventory management often relies on outdated single‐criterion analyses. While multi‐criteria ABC (MCABC) analyses provide a theoretically mature assessment of resilience‐sustainability‐benefit trade‐offs in inventory, their adoption remains limited due to fragmented ...
Lukas Grützner, Michael H. Breitner
wiley +1 more source
Health effects of a youth labor market activation policy
Abstract We examine the health effects of a labor market activation policy in Sweden, the Youth Job Guarantee. To estimate causal effects, we implement a regression discontinuity design using the policy's age‐eligibility threshold, together with detailed administrative data on health‐related outcomes, including indicators of mental health.
Caroline Hall +3 more
wiley +1 more source
Beyond the Adult Mind: A Developmental Framework for Predictive Processing in Infancy
Abstract Predictive Processing has been proposed as the single unifying computation underlying all of cognition, and proponents argue that all psychological phenomena can be explained as consequences of this principle. This theoretical framework has inspired many cognitive scientists and neuroscientists, but it currently has no developmental mechanism ...
Emma K. Ward +4 more
wiley +1 more source
An Introduction to Rational Constructivism in Cognitive Development
Abstract Rational constructivism is a contemporary theory of cognitive development. It proposes that children generate, tweak, and radically revise theories, beliefs, and representations by integrating evidence with existing knowledge via probabilistic inferential learning mechanisms.
Rebekah A. Gelpi +3 more
wiley +1 more source

