Main Takeaway: Authors: Yanping Fu, Qingan Yan, Jie Liao, Chunxia Xiao Description: Due to inevitable noises and quantization error, the ... This video covers the Vision Transformer (ViT), Diffusion Transformer (DiT) and Multimodal Diffusion Transformer (MMDiT).
Jointdit Enhancing Rgb Depth Joint 38748 -
Authors: Yanping Fu, Qingan Yan, Jie Liao, Chunxia Xiao Description: Due to inevitable noises and quantization error, the ... This video covers the Vision Transformer (ViT), Diffusion Transformer (DiT) and Multimodal Diffusion Transformer (MMDiT). We present a practical (fast, globally consistent and robust) dense 3D reconstruction system, iDFusion, by exploring the
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- Authors: Yanping Fu, Qingan Yan, Jie Liao, Chunxia Xiao Description: Due to inevitable noises and quantization error, the ...
- This video covers the Vision Transformer (ViT), Diffusion Transformer (DiT) and Multimodal Diffusion Transformer (MMDiT).
- We present a practical (fast, globally consistent and robust) dense 3D reconstruction system, iDFusion, by exploring the
- Authors: Keren Fu, Deng-Ping Fan, Ge-Peng Ji, Qijun Zhao Description: This paper proposes a novel
- Hello everyone I'm Bjang Giwan from post In this video I will introduce our paper
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