Results 1 to 10 of about 1,683,484 (294)
Neural rendering provides a fundamentally new way to render photorealistic images. Similar to traditional light-baking methods, neural rendering utilizes neural networks to bake representations of scenes, materials, and lights into latent vectors learned
Ziyang Zhang, Edgar Simo-Serra
doaj +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
Robust 3D Human Reconstruction System From Sparse Views in Outdoor Environments
We propose a novel 3D human reconstruction system designed for diverse settings including outdoor environments. Existing methods face the challenges of portability, robustness, and adaptability to environmental variations, as they often rely on sensor ...
Hansoo Park +3 more
doaj +1 more source
Depth and Semantic Guided 3D Gaussian Splatting With Synthetic-View Fine-Tuning
Recent advances in 3D Gaussian Splatting (3DGS) have enabled real-time photorealistic rendering for large-scale urban reconstruction. However, reconstruction fidelity still degrades in regions where constraints are weak, whether due to insufficient ...
Jongseok Min, Byeongyoon An, Jinho Lee
doaj +1 more source
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
A Comprehensive Review of Advances in 3D Point Cloud Generation and Mesh Texturing
Three-dimensional (3D) point cloud generation and mesh texturing have become fundamental components in computer vision, graphics, and image processing, enabling high-fidelity representations of real-world environments.
Giovanna Bueno Marcondes +5 more
doaj +1 more source
GlassGaussian: Extending 3D Gaussian Splatting for Realistic Imperfections and Glass Materials
3D scene reconstruction methods have made significant advancements in handling reflections. However, these methods are primarily effective on ideal mirror surfaces, which limits their applicability in real-world scenarios where imperfections or materials
Junming Cao +2 more
doaj +1 more source
In recent years, the generation and animation of avatars in virtual reality (VR) have undergone a definitive paradigm shift, transitioning from pre-rendered, manually rigged meshes to autonomous, AI-driven digital entities.
Anastasios Theodoropoulos
doaj +1 more source
IVAH: Invisible-Region Augmented Human Rendering From Monocular Images
Most neural radiance field (NeRF)-based human rendering methods rely on per-subject optimization or multi-view data input to reconstruct the 3D radiance field of human subjects.
Do Yeop Kim, Ju Yong Chang
doaj +1 more source
Unifying Street Scene Point Cloud Semantic Segmentation with Deformable Mesh-based Neural Representation [PDF]
Accurate semantic segmentation of urban point clouds is important for applications such as urban planning and autonomous driving. Recently, neural scene representations have been extended to merge semantic information across modalities and spatial ...
Y. Zhou
doaj +1 more source

