Results 81 to 90 of about 2,993 (218)
Conditional Random Fields as Recurrent Neural Networks [PDF]
, 2016 Pixel-level labelling tasks, such as semantic segmentation, play a central role in image understanding. Recent approaches have attempted to harness the capabilities of deep learning techniques for image recognition to tackle pixel-level labelling tasks ...
Du, Dalong +7 more
core +3 more sources
StyleMM: Stylized 3D Morphable Face Model via Text‐Driven Aligned Image Translation
Computer Graphics Forum, Volume 44, Issue 7, October 2025.Abstract We introduce StyleMM, a novel framework that can construct a stylized 3D Morphable Model (3DMM) based on user‐defined text descriptions specifying a target style. Building upon a pre‐trained mesh deformation network and a texture generator for original 3DMM‐based realistic human faces, our approach fine‐tunes these models using stylized facial
Seungmi Lee, Kwan Yun, Junyong Noh
wiley +1 more source
Dynamic Street-Scene Reconstruction with Semantic Priors and Temporal Constraints
Applied SciencesDynamic street-scene reconstruction from sparse viewpoints over long temporal spans is challenged by temporal instability, ghosting near occlusions, and background drift.
Qingwu Duan +5 more
doaj +1 more source
Geometry-Based Next Frame Prediction from Monocular Video
, 2017 We consider the problem of next frame prediction from video input. A recurrent convolutional neural network is trained to predict depth from monocular video input, which, along with the current video image and the camera trajectory, can then be used to ...
Angelova, Anelia +2 more
core +1 more source
ClothingTwin: Reconstructing Inner and Outer Layers of Clothing Using 3D Gaussian Splatting
Computer Graphics Forum, Volume 44, Issue 7, October 2025.Abstract We introduce ClothingTwin, a novel end‐to‐end framework for reconstructing 3D digital twins of clothing that capture both the outer and inner fabric —without the need for manual mannequin removal. Traditional 2D “ghost mannequin” photography techniques remove the mannequin and composite partial inner textures to create images in which the ...
Munkyung Jung, Dohae Lee, In‐Kwon Lee
wiley +1 more source
Gaussian Splatting Lucas-Kanade
International Conference on Learning ...
Xie, Liuyue +3 more
openaire +2 more sources
GiViP: A Visual Profiler for Distributed Graph Processing Systems
, 2017 Analyzing large-scale graphs provides valuable insights in different application scenarios. While many graph processing systems working on top of distributed infrastructures have been proposed to deal with big graphs, the tasks of profiling and debugging
A Arleo +36 more
core +1 more source
Preconditioned Deformation Grids
Computer Graphics Forum, Volume 44, Issue 7, October 2025.Abstract Dynamic surface reconstruction of objects from point cloud sequences is a challenging field in computer graphics. Existing approaches either require multiple regularization terms or extensive training data which, however, lead to compromises in reconstruction accuracy as well as over‐smoothing or poor generalization to unseen objects and ...
Julian Kaltheuner +4 more
wiley +1 more source
Deblur Gaussian Splatting SLAM
We present Deblur-SLAM, a robust RGB SLAM pipeline designed to recover sharp reconstructions from motion-blurred inputs. The proposed method bridges the strengths of both frame-to-frame and frame-to-model approaches to model sub-frame camera trajectories that lead to high-fidelity reconstructions in motion-blurred settings.
Girlanda, Francesco +3 more
openaire +3 more sources