1 citations · 1 across the 17 of their papers we have counts for
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4DLangVGGT: 4D Language-Visual Geometry Grounded Transformer
Xianfeng Wu, Yajing Bai, Minghan Li +5
Constructing 4D language fields is crucial for embodied AI, augmented/virtual reality, and 4D scene understanding, as they provide enriched semantic representations of dynamic envi…
DiffusionVL: Translating Any Autoregressive Models into Diffusion Vision Language Models
Lunbin Zeng, Jingfeng Yao, Bencheng Liao +3
Diffusion-based decoding has recently emerged as an appealing alternative to autoregressive (AR) generation, offering the potential to update multiple tokens in parallel and reduce…
Visual Generation Tuning
Jiahao Guo, Sinan Du, Jingfeng Yao +7
Large Vision Language Models (VLMs) effectively bridge the modality gap through extensive pretraining, acquiring sophisticated visual representations aligned with language. However…
Gait Recognition via Collaborating Discriminative and Generative Diffusion Models
Haijun Xiong, Bin Feng, Bang Wang +2
Gait recognition offers a non-intrusive biometric solution by identifying individuals through their walking patterns. Although discriminative models have achieved notable success i…
Turbo-VAED: Fast and Stable Transfer of Video-VAEs to Mobile Devices
Ya Zou, Jingfeng Yao, Siyuan Yu +3
There is a growing demand for deploying large generative AI models on mobile devices. For recent popular video generative models, however, the Variational AutoEncoder (VAE) represe…
PixelHacker: Image Inpainting with Structural and Semantic Consistency
Ziyang Xu, Kangsheng Duan, Xiaolei Shen +5
Image inpainting is a fundamental research area between image editing and image generation. Recent state-of-the-art (SOTA) methods have explored novel attention mechanisms, lightwe…
STP4D: Spatio-Temporal-Prompt Consistent Modeling for Text-to-4D Gaussian Splatting
Yunze Deng, Haijun Xiong, Bin Feng +2
Text-to-4D generation is rapidly developing and widely applied in various scenarios. However, existing methods often fail to incorporate adequate spatio-temporal modeling and promp…
MaTVLM: Hybrid Mamba-Transformer for Efficient Vision-Language Modeling
Yingyue Li, Bencheng Liao, Wenyu Liu +1
With the advancement of RNN models with linear complexity, the quadratic complexity challenge of transformers has the potential to be overcome. Notably, the emerging Mamba-2 has de…