Results 61 to 70 of about 23,696 (202)
Sobolev gradients and image interpolation
, 2012 We present here a new image inpainting algorithm based on the Sobolev gradient method in conjunction with the Navier-Stokes model. The original model of Bertalmio et al is reformulated as a variational principle based on the minimization of a well chosen
Danaila, Ionut, Kazemi, Parimah
core +1 more source
PSHead: 3D Head Reconstruction from a Single Image with Diffusion Prior and Self‐Enhancement
Computer Graphics Forum, EarlyView.We introduce PSHead, a coarse‐to‐fine framework guided by both object and face priors, to produce a Gaussian‐based 3D avatar for a single frontal‐view reference image. In the coarse stage, we create an initial 3D representation by applying diffusion models trained for general object generation, using Score Distillation Sampling losses over novel views.
Jing Yang +4 more
wiley +1 more source
Foreground-Aware Image Inpainting [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 Camera Ready version of CVPR 2019 with supplementary ...
Wei Xiong 0008 +6 more
openaire +2 more sources
A combined first and second order variational approach for image reconstruction
, 2013 In this paper we study a variational problem in the space of functions of bounded Hessian. Our model constitutes a straightforward higher-order extension of the well known ROF functional (total variation minimisation) to which we add a non-smooth second ...
A. Bertozzi +70 more
core +1 more source
MaX4Zero: Masked Extended Attention for Zero‐Shot Virtual Try‐On In The Wild
Computer Graphics Forum, EarlyView.Max4Zero is a zero‐shot, training‐free virtual try‐on method that leverages diffusion priors and extended attention for accurate garment transfer. By warping reference garments and mitigating texture sticking, it achieves superior fidelity, garment preservation and identity consistency over state‐of‐the‐art methods without additional training ...
Nadav Orzech +4 more
wiley +1 more source
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 Accepted at CVPR ...
Dahun Kim +3 more
openaire +2 more sources
Texture Inpainting for Photogrammetric Models
Computer Graphics Forum, 2023 AbstractWe devise a technique designed to remove the texturing artefacts that are typical of 3D models representing real‐world objects, acquired by photogrammetric techniques. Our technique leverages the recent advancements in inpainting of natural colour images, adapting them to the specific context.
Maggiordomo, Andrea +2 more
openaire +3 more sources
Image inpainting algorithm based on double curvature-driven diffusion model with P-Laplace operator.
PLoS ONEThe method of partial differential equations for image inpainting achieves better repair results and is economically feasible with fast repair time. Addresses the inability of Curvature-Driven Diffusion (CDD) models to repair complex textures or edges ...
Lifang Xiao, Jianhao Wu
doaj +1 more source
3D Character Reconstruction from Hand‐drawn Model Sheets
Computer Graphics Forum, EarlyView.Abstract Hand‐drawn model sheets are widely used in character design to define 3D shape and appearance through sparse multi‐view drawings. Reconstructing 3D characters from such sparse inputs has traditionally been challenging due to insufficient visual information.
Hyejeong Yoon +3 more
wiley +1 more source
An Inpainting- Based Deinterlacing Method [PDF]
IEEE Transactions on Image Processing, 2007 Video is usually acquired in interlaced format, where each image frame is composed of two image fields, each field holding same parity lines. However, many display devices require progressive video as input; also, many video processing tasks perform better on progressive material than on interlaced video.
Coloma Ballester +5 more
openaire +3 more sources