Results 101 to 110 of about 10,601 (230)

Improving 3D Object Detection in Neural Radiance Fields With Channel Attention

CAAI Transactions on Intelligence Technology
In recent years, 3D object detection using neural radiance fields (NeRF) has advanced significantly, yet challenges remain in effectively utilising the density field.
Minling Zhu, Yadong Gong, Dongbing Gu, Chunwei Tian   +3 more
doaj   +1 more source

FlowGS: Controlling Information Flow for Graph‐Based Interaction in 3D Gaussian Splatting

Computer Graphics Forum, EarlyView.
Abstract 3D Gaussian Splatting (3DGS) has recently enabled real‐time, high‐quality novel view synthesis. However, its formulation treats each Gaussian independently, lacking explicit information exchange between neighboring elements and limiting its ability to capture local structure.
T. Jia, R. Sun, W. Shi
wiley   +1 more source

NeRF On-the-go: Exploiting Uncertainty for Distractor-free NeRFs in the Wild

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Neural Radiance Fields (NeRFs) have shown remarkable success in synthesizing photorealistic views from multi-view images of static scenes, but face challenges in dynamic, real-world environments with distractors like moving objects, shadows, and lighting changes. Existing methods manage controlled environments and low occlusion ratios but fall short in
Weining Ren, Zihan Zhu, Boyang Sun, Jiaqi Chen, Marc Pollefeys, Songyou Peng   +5 more
openaire   +2 more sources

Advances in 4D Representation: Geometry, Motion, and Interaction

Computer Graphics Forum, EarlyView.
We survey 4D representation through three key pillars — geometry, motion, and interaction — offering a selective, representation‐centric perspective to guide researchers in choosing and customizing the right 4D representation for their tasks. Abstract We present a survey on 4D generation and reconstruction, a fast‐evolving subfield of computer graphics
M. Zhao, S. Nag, K. Wang, A. Vora, G. Ji, P. Chun, A. Mahdavi‐Amiri, H. Zhang   +7 more
wiley   +1 more source

SUP-NeRF: A Streamlined Unification of Pose Estimation and NeRF for Monocular 3D Object Reconstruction [PDF]

Monocular 3D reconstruction for categorical objects heavily relies on accurately perceiving each object\u27s pose. While gradient-based optimization in a NeRF framework updates the initial pose, this paper highlights that scale-depth ambiguity in ...
Zhao, Cheng, Wang, Ruoyu, Kumar, Abhinav, Guo, Yuliang, Huang, Xinyu, Ren, Liu   +5 more
core   +1 more source

Visual Localization Using Implicit Representations and Particle Filtering-Based Pose Refinement

IEEE Access
This work proposes HAL-NeRF v2, a localization pipeline that couples direct pose regression with Monte Carlo–based refinement on neural scene representations.
Grigorios-Aris Cheimariotis, Dimitrios Zarpalas   +1 more
doaj   +1 more source

NeRF Analogies: Example-Based Visual Attribute Transfer for NeRFs

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Project page: https://mfischer-ucl.github.io/nerf_analogies/
Michael Fischer 0011, Zhengqin Li, Thu Nguyen-Phuoc, Aljaz Bozic, Zhao Dong 0001, Carl S. Marshall, Tobias Ritschel 0001   +6 more
openaire   +3 more sources

Mixture of Mesh Experts With Random Walk Transformer Gating

Computer Graphics Forum, EarlyView.
Abstract In recent years, various methods have been proposed for mesh analysis, each offering distinct advantages and often excelling on different object classes. We present a novel Mixture of Experts (MoE) framework designed to harness the complementary strengths of these diverse approaches.
Amir Belder, Ayellet Tal
wiley   +1 more source

NeRF-LipSync: A Diffusion Model for Speech-Driven and View-Consistent Lip Synchronization in Digital Avatars [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Achieving natural, accurate, and identity-preserving lip synchronization in talking avatars is a fundamental problem in audio-visual synthesis. Existing methods often struggle to generalize across speakers, maintain temporal smoothness, or preserve view ...
A. Axyonov, M. Dolgushin, D. Ryumin
doaj   +1 more source

Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumption

Proceedings of the AAAI Conference on Artificial Intelligence
The standard Neural Radiance Fields (NeRF) paradigm employs a viewer-centered methodology, entangling the aspects of illumination and material reflectance into emission solely from 3D points. This simplified rendering approach presents challenges in accurately modeling images captured under adverse lighting conditions, such as low light or over ...
Ziteng Cui, Lin Gu 0003, Xiao Sun 0001, Xianzheng Ma, Yu Qiao 0001, Tatsuya Harada   +5 more
openaire   +3 more sources