Deficiency-aware masked transformer for video inpainting

Y Yu, H Fan, L Zhang - arXiv preprint arXiv:2307.08629, 2023 - arxiv.org
Recent video inpainting methods have made remarkable progress by utilizing explicit
guidance, such as optical flow, to propagate cross-frame pixels. However, there are cases …

HDR-GS: Efficient high dynamic range novel view synthesis at 1000x speed via gaussian splatting

Y Cai, Z Xiao, Y Liang, M Qin, Y Zhang, X Yang… - arXiv preprint arXiv …, 2024 - arxiv.org
High dynamic range (HDR) novel view synthesis (NVS) aims to create photorealistic images
from novel viewpoints using HDR imaging techniques. The rendered HDR images capture a …

Flow-guided diffusion for video inpainting

B Gu, Y Yu, H Fan, L Zhang - arXiv preprint arXiv:2311.15368, 2023 - arxiv.org
Video inpainting has been challenged by complex scenarios like large movements and low-
light conditions. Current methods, including emerging diffusion models, face limitations in …

MMGInpainting: Multi-Modality Guided Image Inpainting Based On Diffusion Models

C Zhang, W Yang, X Li, H Han - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Proper inference of semantics is necessary for realistic image inpainting. Most image
inpainting methods use deep generative models, which require large image datasets to …

Anywhere: A Multi-Agent Framework for Reliable and Diverse Foreground-Conditioned Image Inpainting

T Xie, R Ma, Q Wang, X Ye, F Liu, Y Tai… - arXiv preprint arXiv …, 2024 - arxiv.org
Recent advancements in image inpainting, particularly through diffusion modeling, have
yielded promising outcomes. However, when tested in scenarios involving the completion of …

Coherent and Multi-modality Image Inpainting via Latent Space Optimization

L Pan, T Zhang, B Chen, Q Zhou, W Ke… - arXiv preprint arXiv …, 2024 - arxiv.org
With the advancements in denoising diffusion probabilistic models (DDPMs), image
inpainting has significantly evolved from merely filling information based on nearby regions …