Results 121 to 130 of about 24,246 (264)

Layer3D: A 3D Layered Representation for Multiview Vector Graphics

Computer Graphics Forum, EarlyView.
Abstract We present Layer3D, a novel 3D neural representation that models objects as collections of decomposable neural implicit primitives. These primitives enable the generation of layered images with consistent correspondences across viewpoints, establishing a flexible framework for multiview vector graphics decomposition.
Zhongyue Guan, Yixin Hu, Zeyu Wang
wiley   +1 more source

Enhancing View Synthesis with Depth-Guided Neural Radiance Fields and Improved Depth Completion

Sensors
Neural radiance fields (NeRFs) leverage a neural representation to encode scenes, obtaining photorealistic rendering of novel views. However, NeRF has notable limitations.
Bojun Wang, Danhong Zhang, Yixin Su, Huajun Zhang   +3 more
doaj   +1 more source

Generative Cutout Animation

Computer Graphics Forum, EarlyView.
Abstract Cutout animation is one of the earliest forms of animation, and to this day remains a popular technique featured in numerous films including Monty Python and South Park series. Most computer animation systems, however, focus on different styles, including cel animation, making cutout animation somewhat underexplored.
Ivan Puhachov, Noam Aigerman, Thibault Groueix, Mikhail Bessmeltsev   +3 more
wiley   +1 more source

Residual-NeRF: Learning Residual NeRFs for Transparent Object Manipulation

2024 IEEE International Conference on Robotics and Automation (ICRA)
Transparent objects are ubiquitous in industry, pharmaceuticals, and households. Grasping and manipulating these objects is a significant challenge for robots. Existing methods have difficulty reconstructing complete depth maps for challenging transparent objects, leaving holes in the depth reconstruction.
Bardienus Pieter Duisterhof, Yuemin Mao, Si Heng Teng, Jeffrey Ichnowski   +3 more
openaire   +3 more sources

Unmanned Aerial Vehicle-Neural Radiance Field (UAV-NeRF): Learning Multiview Drone Three-Dimensional Reconstruction with Neural Radiance Field

Remote Sensing
In traditional 3D reconstruction using UAV images, only radiance information, which is treated as a geometric constraint, is used in feature matching, allowing for the restoration of the scene’s structure. After introducing radiance supervision, NeRF can
Li Li, Yongsheng Zhang, Zhipeng Jiang, Ziquan Wang, Lei Zhang, Han Gao   +5 more
doaj   +1 more source

How Far can we Compress Instant-NGP-Based NeRF? [PDF]

Computer Vision and Pattern Recognition
In recent years, Neural Radiance Field (NeRF) has demonstrated remarkable capabilities in representing 3D scenes. To expedite the rendering process, learnable explicit representations have been introduced for combination with implicit NeRF representation,
Yihang Chen, Qianyi Wu, Mehrtash Harandi, Jianfei Cai   +3 more
semanticscholar   +1 more source

The Truth, the Whole Truth, and Nothing but the Truth: Automatic Visualization Evaluation from Reconstruction Quality

Computer Graphics Forum, EarlyView.
Abstract Recent advances in AI enable the automatic generation of visualizations directly from textual prompts using agentic workflows. However, visualizations produced via one‐shot generative methods often suffer from insufficient quality, typically requiring a human in the loop to refine the outputs.
Roxana Bujack, Li‐Ta Lo, Ethan Stam, Ayan Biswas, David Rogers   +4 more
wiley   +1 more source

NeRF-APT: A New NeRF Framework for Wireless Channel Prediction

IEEE INFOCOM 2025 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
Accepted by IEEE INFOCOM WKSHPS: DeepWireless 2025: Deep Learning for Wireless Communications, Sensing, and Security, to appear.
Jingzhou Shen, Tianya Zhao, Yanzhao Wu 0001, Xuyu Wang   +3 more
openaire   +4 more sources

The Adaption of Recent New Concepts in Neural Radiance Fields and Their Role for High-Fidelity Volume Reconstruction in Medical Images

Sensors
Volume reconstruction techniques are gaining increasing interest in medical domains due to their potential to learn complex 3D structural information from sparse 2D images.
Haill An, Jawad Khan, Suhyeon Kim, Junseo Choi, Younhyun Jung   +4 more
doaj   +1 more source

A NeutroEconomic Resilience Framework for High-Quality Regional Economic Development Under the New Normal [PDF]

Neutrosophic Sets and Systems
This study introduces the NeutroEconomic Resilience Framework (NERF), a novel model leveraging NeutroAlgebra to enhance high-quality regional economic development under the New Normal.
Yifan Wang, Xiuling Sun
doaj   +1 more source