1 citations · 1 across the 3 of their papers we have counts for
4 papers
COLLAR: Cascaded Object-Level Latent Refinement for High-Fidelity Conditional Generation
Xinlong Zhang, Jia Wei, Xiaoyu Zhang +3
Achieving high-fidelity object-level control in Diffusion Transformers remains a significant challenge despite the introduction of structural priors like depth and Canny maps. Curr…
PanoLlama: Generating Endless and Coherent Panoramas with Next-Token-Prediction LLMs
Teng Zhou, Xiaoyu Zhang, Yongchuan Tang
Panoramic Image Generation (PIG) aims to create coherent images of arbitrary lengths. Most existing methods fall in the joint diffusion paradigm, but their complex and heuristic cr…
Multi-Scale Diffusion: Enhancing Spatial Layout in High-Resolution Panoramic Image Generation
Xiaoyu Zhang, Teng Zhou, Xinlong Zhang +2
Diffusion models have recently gained recognition for generating diverse and high-quality content, especially in image synthesis. These models excel not only in creating fixed-size…
TwinDiffusion: Enhancing Coherence and Efficiency in Panoramic Image Generation with Diffusion Models
Teng Zhou, Yongchuan Tang
Diffusion models have emerged as effective tools for generating diverse and high-quality content. However, their capability in high-resolution image generation, particularly for pa…