11 papers
Cross-Layer Attentive Feature Upsampling for Low-latency Semantic Segmentation
Tianheng Cheng, Xinggang Wang, Junchao Liao +1
Semantic segmentation is a fundamental problem in computer vision and it requires high-resolution feature maps for dense prediction. Current coordinate-guided low-resolution featur…
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…
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…