Recovering high dynamic range radiance maps from photographs
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Image-based modeling and photo editing
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
ACM SIGGRAPH 2003 Papers
Bilateral Filtering for Gray and Color Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Textureshop: texture synthesis as a photograph editing tool
ACM SIGGRAPH 2004 Papers
Near-regular texture analysis and manipulation
ACM SIGGRAPH 2004 Papers
Real-Time, Accurate Depth of Field using Anisotropic Diffusion and Programmable Graphics Cards
3DPVT '04 Proceedings of the 3D Data Processing, Visualization, and Transmission, 2nd International Symposium
Image and video retexturing: Image, Colour and Illumination in Animation
Computer Animation and Virtual Worlds - CASA 2005
Channel Smoothing: Efficient Robust Smoothing of Low-Level Signal Features
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM SIGGRAPH 2006 Papers
ACM SIGGRAPH 2006 Papers
RotoTexture: Automated Tools for Texturing Raw Video
IEEE Transactions on Visualization and Computer Graphics
High-Dynamic-Range (HDR) Vision: Microelectronics, Image Processing, Computer Graphics (Springer Series in Advanced Microelectronics)
Real-time edge-aware image processing with the bilateral grid
ACM SIGGRAPH 2007 papers
High dynamic range image tone mapping and retexturing using fast trilateral filtering
The Visual Computer: International Journal of Computer Graphics
Mesh-Guided Optimized Retexturing for Image and Video
IEEE Transactions on Visualization and Computer Graphics
Streaming multigrid for gradient-domain operations on large images
ACM SIGGRAPH 2008 papers
Diffusion curves: a vector representation for smooth-shaded images
ACM SIGGRAPH 2008 papers
Real-time gradient-domain painting
ACM SIGGRAPH 2008 papers
IEEE Transactions on Pattern Analysis and Machine Intelligence
Retexturing in the Presence of Complex Illumination and Occlusions
ISMAR '07 Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality
A system for retargeting of streaming video
ACM SIGGRAPH Asia 2009 papers
A duality based approach for realtime TV-L1 optical flow
Proceedings of the 29th DAGM conference on Pattern recognition
Technical Section: Realistic cloth augmentation in single view video under occlusions
Computers and Graphics
Parallel progressive photon mapping on GPUs
ACM SIGGRAPH ASIA 2010 Sketches
High quality elliptical texture filtering on GPU
I3D '11 Symposium on Interactive 3D Graphics and Games
Retexturing single views using texture and shading
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
A fast approximation of the bilateral filter using a signal processing approach
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
A general framework for low level vision
IEEE Transactions on Image Processing
Texture replacement of garments in monocular video sequences
EGSR'06 Proceedings of the 17th Eurographics conference on Rendering Techniques
VEA 2012: Interactive image/video retexturing using GPU parallelism
Computers and Graphics
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This paper presents a feature-guided retexturing method that preserves similar underlying texture distortion between the original and the retextured images/videos. Existing image retexturing and synthesis methods deal with texture distortion by inter-pixel distances manipulation in image space, and the underlying texture distortion of the original images is always destroyed when performing the nowaday retexturing techniques due to limitations like improper distortion caused by human mesh stretching, or unavoidable texture splitting caused by synthesis. The long processing time due to time-consuming bilateral filtering is also unacceptable. We propose to utilize corner features to naturally discover the underlying texture distortion existed in the original images. Gradient-based depth map reconstruction and feature-guided optimization are then applied to accomplish the distortion process. We facilitate the HDR image/video retexturing via real-time bilateral grid and feature-guided texture distortion optimization on GPU-CUDA platform. Our retexturing using feature-guided optimization in gradient domain provides realistic retexturing of HDR images while preserving elite texture distortion in cornered area. In multiple experiments, our method consistently demonstrates high-quality performance of image/video retexturing in real time.