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20212024
most citedAttention-based Interactive Disentangling Network for Instance-level Emotional Voice Conversion

6 citations · 10 across the 10 of their papers we have counts for

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10 papers

eess.IV2024

CoCPF: Coordinate-based Continuous Projection Field for Ill-Posed Inverse Problem in Imaging

Zixuan Chen, Lingxiao Yang, Jian-Huang Lai +1

Sparse-view computed tomography (SVCT) reconstruction aims to acquire CT images based on sparsely-sampled measurements. It allows the subjects exposed to less ionizing radiation, r…

cs.CV2024

VividDreamer: Towards High-Fidelity and Efficient Text-to-3D Generation

Zixuan Chen, Ruijie Su, Jiahao Zhu +3

Text-to-3D generation aims to create 3D assets from text-to-image diffusion models. However, existing methods face an inherent bottleneck in generation quality because the widely-u…

cs.CV2024

View-decoupled Transformer for Person Re-identification under Aerial-ground Camera Network

Quan Zhang, Lei Wang, Vishal M. Patel +2

Existing person re-identification methods have achieved remarkable advances in appearance-based identity association across homogeneous cameras, such as ground-ground matching. How…

cs.CV2024

Tackling the Singularities at the Endpoints of Time Intervals in Diffusion Models

Pengze Zhang, Hubery Yin, Chen Li +1

Most diffusion models assume that the reverse process adheres to a Gaussian distribution. However, this approximation has not been rigorously validated, especially at singularities…

cs.CV2024

Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis

Yanzuo Lu, Manlin Zhang, Andy J Ma +2

Diffusion model is a promising approach to image generation and has been employed for Pose-Guided Person Image Synthesis (PGPIS) with competitive performance. While existing method…

cs.CV20241 cited

Exploring Adversarial Attacks against Latent Diffusion Model from the Perspective of Adversarial Transferability

Junxi Chen, Junhao Dong, Xiaohua Xie

Recently, many studies utilized adversarial examples (AEs) to raise the cost of malicious image editing and copyright violation powered by latent diffusion models (LDMs). Despite t…