1 citations · 1 across the 9 of their papers we have counts for
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KFFocus: Highlighting Keyframes for Enhanced Video Understanding
Ming Nie, Chunwei Wang, Hang Xu +1
Recently, with the emergence of large language models, multimodal LLMs have demonstrated exceptional capabilities in image and video modalities. Despite advancements in video compr…
ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement
Runhui Huang, Chunwei Wang, Junwei Yang +8
We present ILLUME+ that leverages dual visual tokenization and a diffusion decoder to improve both deep semantic understanding and high-fidelity image generation. Existing unified…
SemHiTok: A Unified Image Tokenizer via Semantic-Guided Hierarchical Codebook for Multimodal Understanding and Generation
Zisheng Chen, Chunwei Wang, Runhui Huang +6
In this paper, we introduce SemHiTok, a unified image Tokenizer via Semantic-Guided Hierarchical codebook that provides consistent discrete representations for multimodal understan…
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise
Yunlong Yuan, Yuanfan Guo, Chunwei Wang +3
Text-driven video generation has advanced significantly due to developments in diffusion models. Beyond the training and sampling phases, recent studies have investigated noise pri…
Brick-Diffusion: Generating Long Videos with Brick-to-Wall Denoising
Yunlong Yuan, Yuanfan Guo, Chunwei Wang +2
Recent advances in diffusion models have greatly improved text-driven video generation. However, training models for long video generation demands significant computational power a…