most citedID-Animator: Zero-Shot Identity-Preserving Human Video Generation

6 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Training-Free Large Model Priors for Multiple-in-One Image Restoration

Xuanhua He, Lang Li, Yingying Wang +7

Image restoration aims to reconstruct the latent clear images from their degraded versions. Despite the notable achievement, existing methods predominantly focus on handling specif…

cs.CV2024★ 6 cited

ID-Animator: Zero-Shot Identity-Preserving Human Video Generation

Xuanhua He, Quande Liu, Shengju Qian +5

Generating high-fidelity human video with specified identities has attracted significant attention in the content generation community. However, existing techniques struggle to str…

cs.CV2024★ 3 cited

Pan-Mamba: Effective pan-sharpening with State Space Model

Xuanhua He, Ke Cao, Keyu Yan +4

Pan-sharpening involves integrating information from low-resolution multi-spectral and high-resolution panchromatic images to generate high-resolution multi-spectral counterparts.…

cs.CV2024★ 1 cited

Enhancing RAW-to-sRGB with Decoupled Style Structure in Fourier Domain

Xuanhua He, Tao Hu, Guoli Wang +9

RAW to sRGB mapping, which aims to convert RAW images from smartphones into RGB form equivalent to that of Digital Single-Lens Reflex (DSLR) cameras, has become an important area o…

cs.CV2024★ 3 cited

Frequency-Adaptive Pan-Sharpening with Mixture of Experts

Xuanhua He, Keyu Yan, Rui Li +3

Pan-sharpening involves reconstructing missing high-frequency information in multi-spectral images with low spatial resolution, using a higher-resolution panchromatic image as guid…