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Omnimatte: Associating Objects and Their Effects in Video


Omnimatte: Associating Objects and Their Effects in Video
We pose a novel problem: automatically associating subjects in videos with ‘effects’ related to them in the scene. Given an input video (top) and rough masks of subjects of interest (middle), our method estimates an
omnimatte – an alpha matte and foreground color that includes the subject itself along with all scene elements associated with it (bottom). The associated elements can be other objects attached to the subject or moving with it, or complex effects such as shadows, reflections, smoke, or ripples the subject creates in water.
Abstract
Computer vision is increasingly effective at segmenting objects in images and videos; however, scene effects related to the objects shadows, reflections, generated smoke, etc are typically overlooked. Identifying such scene effects and associating them with the objects producing them is important for improving our fundamental understanding of visual scenes, and ....

Forrester Cole , Erika Lu , Williamt Freeman , Michael Rubinstein , Weidi Xie , Andrew Zisserman , Associating Objects , Their Effects , Tali Dekel , Neural Rendering , Retiming People , David Salesin , மைக்கேல் ரூபின்ஸ்டீன் , அவர்களது விளைவுகள் , தாலி டேக்கில் , நரம்பியல் ரெண்டரிங் ,

Neural Rendering: How Low Can You Go In Terms Of Input?


Table Of Contents
Yesterday some extraordinary new work in neural image synthesis caught the attention and the imagination of the internet, as Intel researchers revealed a
new method for enhancing the realism of synthetic images.
The system, as demonstrated in a video from Intel, intervenes directly into the image pipeline for the Grand Theft Auto V video game, and automatically enhances the images through an image synthesis algorithm trained on a convolutional neural network (CNN), using real world imagery from the Mapillary dataset, and swapping out the less realistic lighting and texturing of the GTA game engine.
Commenters, in a wide range of reactions in communities such as Reddit and Hacker News, are positing not only that neural rendering of this type could effectively replace the less photorealistic output of traditional games engines and VFX-level CGI, but that this process could be achieved with far more basic input than was demonstrated in the Intel GT ....

Refinement Networks , Nvidia Unit Unsupervised Translation Networks , Hacker News , Uncanny Valley , Infinite Nature , Intel Image Enhancement , Image To Translation Networks , Down Input For , Neural Rendering , Work With , Image Synthesis , Cascaded Refinement , ஹேக்கர் செய்தி , விசித்திரமான பள்ளத்தாக்கு , நரம்பியல் ரெண்டரிங் , வேலை உடன் , படம் தொகுப்பு ,