Results 51 to 60 of about 171,197 (277)
LSON-IP: Lightweight Sparse Occupancy Network for Instance Perception
The high computational demand of dense voxel representations severely limits current vision-centric 3D semantic occupancy prediction methods, despite their capacity for granular scene understanding. This challenge is particularly acute in safety-critical
Xinwang Zheng +4 more
doaj +1 more source
SyntheticFur dataset for neural rendering
We introduce a new dataset called SyntheticFur built specifically for machine learning training. The dataset consists of ray traced synthetic fur renders with corresponding rasterized input buffers and simulation data files. We procedurally generated approximately 140,000 images and 15 simulations with Houdini.
Le, Trung +4 more
openaire +2 more sources
Structural biology of ferritin nanocages
Ferritin is a conserved iron‐storage protein that sequesters iron as a ferric mineral core within a nanocage, protecting cells from oxidative damage and maintaining iron homeostasis. This review discusses ferritin biology, structure, and function, and highlights recent cryo‐EM studies revealing mechanisms of ferritinophagy, cellular iron uptake, and ...
Eloise Mastrangelo, Flavio Di Pisa
wiley +1 more source
EG-HumanNeRF: Efficient generalizable human NeRF utilizing human prior for sparse view
Generalizable neural radiance fields (NeRFs) enable neural-based digital human rendering without per-scene retraining. When combined with human prior knowledge, high-quality human rendering can be achieved even with sparse input views.
Zhaorong Wang +2 more
doaj +1 more source
Because of its flexibility and universality, Monte Carlo integral has become the preferred algorithm of most realistic image synthesis. However, the quality of rendered images is often affected by the estimated variance, which is mainly reflected in ...
Xiwen Chen, Jianfei Shen
doaj +1 more source
A Novel Implicit Neural Representation for Volume Data
The storage of medical images is one of the challenges in the medical imaging field. There are variable works that use implicit neural representation (INR) to compress volumetric medical images.
Armin Sheibanifard, Hongchuan Yu
doaj +1 more source
Modeling Camera Effects to Improve Visual Learning from Synthetic Data
Recent work has focused on generating synthetic imagery to increase the size and variability of training data for learning visual tasks in urban scenes.
A Andreopoulos +10 more
core +1 more source
Deferred Neural Rendering for View Extrapolation [PDF]
Image-based rendering methods that support visually pleasing specular surface reflections require accurate surface geometry and a large number of input images. Recent advances in neural scene representations show excellent visual quality while requiring only imperfect mesh proxies or no surface-based proxies at all.
Bertel, Tobias +5 more
openaire +1 more source
We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley +1 more source
LEMON: Localized Editing With Mesh Optimization and Neural Shaders
We present LEMON, a mesh editing pipeline that integrates neural deferred shading with localized mesh optimization to enable fast and precise editing of polygonal meshes guided by text prompts.
Furkan Mert Algan +4 more
doaj +1 more source

