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Found 6 papers, 3 papers with code
Raw Text is All you Need: Knowledge-intensive Multi-turn Instruction Tuning for Large Language Model
In this paper, we present a novel framework named R2S that leverages the CoD-Chain of Dialogue logic to guide large language models (LLMs) in generating knowledge-intensive multi-turn dialogues for instruction tuning.
HOIAnimator: Generating Text-prompt Human-object Animations using Novel Perceptive Diffusion Models
To date the quest to rapidly and effectively produce human-object interaction (HOI) animations directly from textual descriptions stands at the forefront of computer vision research.
Arbitrary Motion Style Transfer with Multi-condition Motion Latent Diffusion Model
Our MCM-LDM's cornerstone lies in its ability first to disentangle and then intricately weave together motion's tripartite components: motion trajectory motion content and motion style.
Rethinking Object Saliency Ranking: A Novel Whole-flow Processing Paradigm
To conquer, this paper proposes a new paradigm for saliency ranking, which aims to completely focus on ranking salient objects by their "importance order".
Sequential Texts Driven Cohesive Motions Synthesis with Natural Transitions
At the technical level, we explore the local-to-global semantic features of previous and current texts to extract relevant information.
A Comprehensive Survey on Video Saliency Detection with Auditory Information: the Audio-visual Consistency Perceptual is the Key!
Video saliency detection (VSD) aims at fast locating the most attractive objects/things/patterns in a given video clip.
