In the past two months, MediaTek's Tianji 8000/9000 chip new machine has been released, winning a double harvest of market sales and consumer reputation. In order to warm up the upcoming vivo X80 series of new machines, vivo held a "vivo dual-core imaging technology communication meeting" today, showing everyone the latest achievements of vivo's independent research and development of self-developed chips, images, and performance.
According to Hu Baishan, executive vice president of Vivo, Vivo does not pursue the first launch, but it is necessary to do the last to come first. Although it is also a Tianji 9000, vivo has joined the self-developed chip V1+, which is both a professional imaging chip and a display performance chip, which will bring a new standard for the second generation of dual-core flagships with a comprehensive improvement in compatibility and functionality.
In fact, since last year, Vivo and MediaTek have invested more than 300 people in the development team, which lasted 350 days of in-depth collaborative development of software and hardware, adjusting the V1+ chip and the Tianji 9000 through, and committed to releasing the strongest performance of the Tianji 9000.
At this communication meeting, Vivo also put forward a small goal: to create the "King of Tianji 9000", for this reason, Vivo used an algorithm to adjust the CPU resource allocation strategy to reduce heat generation, effectively improving the energy efficiency ratio of the Tianji 9000 platform. According to official data, in the game scenario of high-performance demand, the battery life of the game can be extended by 10%.
In order to allow users to use the machine smoothly for a long time, vivo has also established a complex set of "user use scene fluency model", optimized the allocation of computing power, improved the priority of animation tasks, and increased the overall animation fluency under high load scenarios by 50%. Coupled with the new memory resource management solution, it can effectively improve the overall fluency of user usage scenarios and achieve an anti-aging fluency experience of up to 36 months.
With the blessing of these characteristics, the Antutu running score of vivo's new machine has reached 1.07 million, ranking first in the current Tianji 9000 model.
Not only in terms of performance, the self-developed chip V1+ will also take computational photography to a new level from the hardware level. For the ultimate night scene video shooting, the polar night video function of less than 1lux environment is realized, and the front lens and wide-angle lens can achieve this function, realizing full-time full-time and full-focus full-scene shooting, and comprehensively improving the camera and video capabilities of mobile phones.
In order to bring better image effects, vivo also proposed a memory color system to make photos more vivid, bright and textured; and for users who pursue faithful restoration of what the human eye sees and pursue the ultimate color accuracy performance, it also provides ZEISS natural colors, from the detection, shooting, processing, display of the four dimensions of the full link color management.
In addition, vivo also launched the "AI perception engine" technology, which integrates the experience of top professional photographers into the chip algorithm to become the hub of visual understanding, corrects the image information in the form of real-time preview, and increases the brightness accuracy by up to 16% compared with the traditional metering method, and the white balance accuracy by up to 12%.
On the display device side, Vivo first developed its own XDR Photo technology, which realizes the ultra-high dynamic range display of photos, and the brightness of the highlighted area of the photo can be increased by up to 350%, and the look and feel is brighter and more transparent, giving users a more immersive experience.
For the portrait shooting that users are most concerned about, vivo put forward the portrait algorithm matrix of four modules: portrait beautification, portrait understanding, portrait atmosphere, and image quality enhancement, and launched AI skin technology, which trains the AI algorithm through massive high-definition materials and GAN generation confrontation network, and the obtained algorithm can achieve pixel-level beauty according to facial features.
For the more miscellaneous group photo scenes, vivo also launched the texture portrait group photo technology for the first time in the industry, through the scene perception module, quickly catching the character characteristics, position relationships and other elements, can clearly present the large group photo scene of 30 people.
Finally, Vivo also expressed the concept of "not following others", continued to explore the "no man's land" of mobile phone images, started technical pre-research 5 to 6 years in advance, and walked out of a path that belonged to Vivo at its own pace.