On April 20, 2022, Vivo held a "Vivo Dual-Core Imaging Technology Communication Meeting" and launched the latest achievements of vivo's independent research and development such as self-developed chips, images and performance.

Originally, I wanted to see if this chip and other new technologies were so magical in the actual product experience of the new chip.
But I still want to talk about what vivo means in the second generation of this self-developed chip , [V1+].
In fact, last year vivo has officially launched the first self-developed image chip vivo V1. And this time V1+ looks like it just added a [+], but in fact... They are no longer a type of chip.
It is both a professional image chip and a display performance chip, which not only evolves again at the image level, but also expands the chip function to the field of performance and display, expands the support for game and video visual experience, and achieves a "core" and two uses.
In simple terms: in addition to making the phone shoot better, it is also a small "graphics card"!
For now, it mainly solves these things:
One "core" two uses
The gaming experience is different
Vivo self-developed chip V1+ will be 3D real-time stereoscopic night scene noise reduction, MEMC interpolation and AI super-division three algorithms for hardware packaging, with good scheduling, fast speed, high energy efficiency of the three characteristics, its data throughput speed can be efficiently maintained at about 8GB/s;
Combined with SRAM, energy efficiency is increased by about 300% and power consumption is reduced by about 72%. In the process of in-depth joint commissioning with MediaTek, more than 30 patents were generated.
The performance breakthrough of the self-developed chip V1+ is also reflected in the performance of the game.
As the industry's first technology at this communication meeting, GPU Fusion works together with multiple internal and external processors through the AI computing capabilities of MediaTek APU, and works together with the GPU to complete the screen rendering of the game and release the GPU load;
At the same time, the hardware-level interpolation frame algorithm of vivo self-developed chip is called to optimize the frame rate stability;
The GT2.0 upgrade algorithm is used to split the overloaded thread at multiple levels to achieve the effect of performance and power balance.
For some hardcore players, vivo also opened the GPU Settings Panel to customize the screen display effect and visual experience.
One "core" two uses
"Hardware-level" computational photography
First of all, the night view!
In terms of imaging, the self-developed chip V1+ has carried out more in-depth fine tuning for night scene video, and realized the polar night video function of less than 1lux environment with video noise reduction algorithm.
V1+ polar night noise reduction algorithm can achieve motion prediction and compensation, combined with the chip itself high-speed, low-power extremely fast memory management system, with the camera module, main chip and vivo self-developed algorithm to improve, so that the mobile phone has reached the imaging level of professional night vision.
In addition to multi-platform support and in-depth tuning, vivo also digs deep into the capabilities of the V1+ chip, extends the black light night vision function to the front and wide-angle lenses, covers all scenes in all time and all focal lengths, and comprehensively improves the camera and video capabilities of mobile phones.
Then there's the color!
Vivo proposes to pursue the pursuit of the natural color of ZEISS that faithfully restores what the human eye sees and pursues the ultimate color accuracy performance, and carries out full-link color management from the four dimensions of detection, shooting, processing and display.
Starting from automatic metering technology, vivo 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%.
Again, it's the display!
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.
This point vivo is ahead of other Android vendors, which is a function point that is not obvious compared to other data performance, but it can really improve the user experience!
In the shooting session, vivo V1+ increased the ΔE of ZEISS natural colors by about 8.3% on the basis of about 15.5% compared with the past, and made the tone of ZEISS real colors more excellent through fine tone.
And portraits!
Vivo makes technological breakthroughs before, during and after portrait shooting: helping users cope with complex and diverse portrait scenes in a way of calibration and adaptation;
Launch of the ZEISS Portrait Lens Package, offering a variety of classic portrait bokeh styles;
Get professionally textured portrait works through the portrait algorithm matrix.
This time, vivo also launched a new AI skin texture technology, through massive high-definition materials and GAN generation confrontation network to "special training" of AI algorithms, so that the skin looks natural, healthy, more textured, comparable to professional retouching works;
Textured portrait group photo technology can clearly present a large group photo scene of up to 30 people, eliminate lens distortion, and enhance portrait texture;
The horizon photo function solves the common perspective distortion problem when shooting buildings.
These enhancements will be reflected in the upcoming vivo's new generation flagship model, the X80 series.
From a single image chip to a core and two-purpose, involved in the field of display, it is obvious that vivo is not "anfen" on the road of self-developed chips.
This reminds me of a voice I saw before, saying that "domestic manufacturers do not have a big effect in developing image chips", in fact, the development of anything needs to be done step by step.
Give enough time, leave enough expectations, use enough of the present, the future can be expected~