2012
DOI: 10.1111/j.1467-8659.2012.03075.x
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Temporal Coherence Methods in Real‐Time Rendering

Abstract: Nowadays, there is a strong trend towards rendering to higher‐resolution displays and at high frame rates. This development aims at delivering more detail and better accuracy, but it also comes at a significant cost. Although graphics cards continue to evolve with an ever‐increasing amount of computational power, the speed gain is easily counteracted by increasingly complex and sophisticated shading computations. For real‐time applications, the direct consequence is that image resolution and temporal resolutio… Show more

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Cited by 49 publications
(34 citation statements)
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References 104 publications
(125 reference statements)
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“…While our fragment outlier rejection mechanism is a key feature to our framework, additional research has to be conducted to alleviate its order-dependence performance nature. Additionally, fragment culling acceleration may be achieved by taking advantage of temporal coherence across adjacent frames [50]. Finally, our framework can be combined with an attention-based level-of-detail manager to downgrade fragment storage in areas that are expected to go unnoticed by an observer [51].…”
Section: Discussionmentioning
confidence: 99%
“…While our fragment outlier rejection mechanism is a key feature to our framework, additional research has to be conducted to alleviate its order-dependence performance nature. Additionally, fragment culling acceleration may be achieved by taking advantage of temporal coherence across adjacent frames [50]. Finally, our framework can be combined with an attention-based level-of-detail manager to downgrade fragment storage in areas that are expected to go unnoticed by an observer [51].…”
Section: Discussionmentioning
confidence: 99%
“…the target image may contain artifacts caused by holes and folds. A survey of rendering systems exploiting temporal coherence by image warping was given by [22]. Furthermore, image warping has been used to generate post-processing effects such as motion blur and depth of field [16].…”
Section: Related Workmentioning
confidence: 99%
“…For CG-generated movies, we can modify the upsampling process and derive an UHFR sequence more easily by relying on existing temporal coherence methods [39]. In particular, given a physically-based renderer, which have become common in production rendering [40], [41], we can create a low quality UHFR video as input to our algorithm (Fig.…”
Section: Stochastic Ultra-high Frame Rate Videosmentioning
confidence: 99%