Core Viewpoint - The article discusses the advancements made by Kuaishou's Keling team in creating a new digital human generation paradigm, specifically through the Kling-Avatar project, which allows for expressive and natural performances in long videos, moving beyond simple lip-syncing to full-body expressions and emotional engagement [2][31]. Group 1: Technology and Framework - The Kling-Avatar utilizes a two-stage generative framework powered by a multimodal large language model, enabling the transformation of audio, visual, and textual inputs into coherent storylines for video generation [6][10]. - A multimodal director module organizes inputs into a structured narrative, extracting voice content and emotional trajectories from audio, identifying human features and scene elements from images, and integrating user text prompts into actions and emotional expressions [8][10]. - The system generates a blueprint video that outlines the overall rhythm, style, and key expression nodes, which is then used to create high-quality sub-segment videos [12][28]. Group 2: Data and Training - The Keling team collected thousands of hours of high-quality video data from various sources, including speeches and dialogues, to train multiple expert models for assessing video quality across several dimensions [14]. - A benchmark consisting of 375 reference image-audio-text prompt pairs was created to evaluate the effectiveness of the digital human video generation methods, providing a challenging testing scenario for multimodal instruction following [14][23]. Group 3: Performance and Results - The Kling-Avatar demonstrated superior performance in a comparative evaluation against advanced products like OmniHuman-1 and HeyGen, achieving higher scores in overall effectiveness, lip sync accuracy, visual quality, control response, and identity consistency [16][24]. - The generated lip movements were highly synchronized with audio, and facial expressions adapted naturally to vocal variations, even during complex phonetic sounds [25][26]. - Kling-Avatar's ability to generate long videos efficiently was highlighted, as it can produce multiple segments in parallel from a single blueprint video, maintaining quality and coherence throughout [28]. Group 4: Future Directions - The Keling team aims to continue exploring advancements in high-resolution video generation, fine-tuned motion control, and complex multi-turn instruction understanding, striving to imbue digital humans with a genuine and captivating presence [31].