4 citations · 7 across the 14 of their papers we have counts for
4 papers · 2 filters
DC-SAE: Deep Compression Semantic Autoencoder for Faster Diffusion Convergence
Xu Huang, Ye Huang, Zijun Liao +6
High-compression tokenizers are essential for scaling latent image generative models. However, aggressive compression creates a fundamental tradeoff between reconstruction fidelity…
Depth-to-Image Synthesis-Driven Generative Unguided Depth Completion
Jiayi Yuan, Na Zhao, De Wen Soh
Guided depth completion methods heavily depend on RGB quality and alignment, while unguided ones often suffer from limited precision due to the absence of explicit visual cues. In…
Leveraging Text-to-Image Diffusion Models for Unsupervised Visual Object Tracking
Zhengbo Zhang, Zhigang Tu, Junsong Yuan +2
Unsupervised visual object tracking is a challenging task that requires following arbitrary targets in videos without training on ground-truth annotations. Despite considerable pro…
VGGT-360: Geometry-Consistent Zero-Shot Panoramic Depth Estimation
Jiayi Yuan, Haobo Jiang, De Wen Soh +1
This paper presents VGGT-360, a novel training-free framework for zero-shot, geometry-consistent panoramic depth estimation. Unlike prior view-independent training-free approaches,…