Abstract: A method includes obtaining raw image data, where the raw image data includes data values each having most significant bits and least significant bits. The method also includes providing the raw image data to a trained machine learning model and generating processed image data using the trained machine learning model. The method further includes presenting an image based on the processed image data. The trained machine learning model is trained to modulate a feature map associated with the most significant bits of the data values of the raw image data based on the least significant bits of the data values of the raw image data in order to generate a fusion of the most significant bits and the least significant bits of the data values of the raw image data.

Abstract: A method includes obtaining a source image of a user and obtaining a driving video in which a face or a head of the user is moving. The method also includes generating metadata identifying animations to be applied to the source image so that the source image mimics at least some movements of the user's face or head in the driving video. The method further includes transmitting the source image and the metadata to an end user device configured to animate the source image based on the metadata. Generating the metadata includes suppressing one or more artifacts associated with one or more objects that temporarily occlude at least a portion of the user's head or body in the driving video or that temporarily appear in the driving video.

Abstract: A negative electrode material includes a carbonaceous active material. Observed in a 80 ?m×100 ?m region of an SEM image, the carbonaceous active material includes carbonaceous particles with pores. A proportion of a quantity of the carbonaceous particles with a quantity of the pores of N?2 in a total quantity of the carbonaceous particles in the 80 ?m×100 ?m region is ?60%, and a proportion of a quantity of the carbonaceous particles with a quantity of the pores of 3?N?5 in the total quantity of carbonaceous particles in the 80 ?m×100 ?m region is ?30%.

Abstract: An electrochemical apparatus includes an electrolyte and a negative electrode plate. The negative electrode plate includes a negative electrode current collector and a negative electrode active material layer disposed on at least one surface of the negative electrode current collector. The negative electrode active material layer contains a negative electrode active material, and a tortuosity T of the negative electrode active material layer satisfies the following relation: 1 < T ? 2.5, where the tortuosity T is a ratio of a transmission path length Lt of the electrolyte in pores of the negative electrode active material layer to a thickness L0 of the negative electrode active material layer.

Abstract: A negative electrode active material includes a carbon material, where the carbon material has a specific degree of graphitization and aspect ratio distribution. A degree of graphitization Gr of the carbon material measured by an X-ray diffraction analysis method is 0.82 to 0.92, and based on a total quantity of particles of the carbon material, a proportion of particles with an aspect ratio greater than 3.3 in the carbon material is less than 10%. The negative electrode active material helps to improve cycle performance of the electrochemical apparatus. FIG. 1.

Abstract: A meter circuit apparatus and a method for implementing metering are disclosed, wherein the apparatus includes: an electric energy meter (1), a combining unit (2) and a current transformer (3), wherein the current transformer (3) is connected to the combining unit (2) and the electric energy meter (1) and is configured to acquire an electrical quantity of a intelligent substation, and input the electrical quantity to the combining unit (2) and the electric energy meter (1); the combining unit (2) configured to combine and synchronize the electrical quantity inputted by the current transformer (3), and forward a processed digital signal in a specific format; and the electric energy meter (1) is configured to charge for the electrical quantity inputted by the current transformer (3). Requirements of regular metering and intelligent measurement are satisfied within adding an independent current transformer (3).