Digital human augmentation rendering method and system based on low-resolution video

By constructing a digital human rendering feature field interaction model, the problem of insufficient processing of inter-frame dynamic correlation in low-resolution digital human videos was solved, generating high-definition digital human videos with clear morphological details and smooth movements, thus improving the user experience.

CN121458812BActive Publication Date: 2026-07-14METADIGITAL SICHUAN TECHNOLOGY CO LTD
View PDF 2 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
METADIGITAL SICHUAN TECHNOLOGY CO LTD
Filing Date
2025-10-29
Publication Date
2026-07-14

AI Technical Summary

Technical Problem

Existing video enhancement technologies cannot effectively handle the dynamic inter-frame relationships in low-resolution digital human videos, resulting in insufficient smoothness of movements and consistency of morphological details, which cannot meet the needs of high-quality digital human video display.

Method used

A digital human rendering feature field interaction model is constructed. The morphological and motion features of digital human image frames are extracted through deep learning and graph convolutional networks. Inter-frame rendering collaboration rules for digital humans are generated, and frame-by-frame associated rendering operations are performed to generate an enhanced digital human image sequence with coherent inter-frame features.

Benefits of technology

The generated high-definition digital human videos are clearer and more realistic in terms of form and detail, and their movements are smoother and more natural, improving the quality of low-resolution digital human videos and bringing users a superior visual experience.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN121458812B_ABST
    Figure CN121458812B_ABST
Patent Text Reader

Abstract

The application provides a kind of digital human enhancement rendering method and system based on low-resolution video, related to digital human technical field, in view of the problem of poor quality of low-resolution digital human video in the prior art, by obtaining the low-resolution digital human video to be processed, the low-resolution digital human video is composed of continuous image frames containing digital human form and motion information. A digital human rendering feature field interaction model is constructed to represent the dynamic influence relationship between different frame shape and motion characteristics, generate inter-frame rendering coordination rules, and specify the inter-frame feature linkage adjustment mode. According to this rule, the image frame is executed frame by frame associated rendering, and the enhanced image sequence with inter-frame feature coherence is generated, and the high-definition digital human video is outputted according to the original frame timing, which effectively improves the quality of low-resolution digital human video.
Need to check novelty before this filing date? Find Prior Art

Citation Information

Patent Citations

  • Dynamic video tactile feature extraction and rendering method

    CN111291677A

  • Digital human video generation method based on multi-modal large model

    CN120472059A