22 citations · 45 across the 12 of their papers we have counts for
13 papers
Parameterized Stripe Attention for Efficient Video Generation
Xingyu Jia, Baole Ai, Ang Wang +2
Diffusion Transformers (DiTs) enable high-quality video generation but suffer from substantial inference latency, primarily attributable to the computationally expensive full spati…
Cross-Scenario Deraining Adaptation with Unpaired Data: Superpixel Structural Priors and Multi-Stage Pseudo-Rain Synthesis
Kangbo Zhao, Miaoxin Guan, Xiang Chen +2
Image deraining plays a pivotal role in low-level computer vision, serving as a prerequisite for robust outdoor surveillance and autonomous driving systems. While deep learning par…
DFVEdit: Conditional Delta Flow Vector for Zero-shot Video Editing
Lingling Cai, Kang Zhao, Hangjie Yuan +3
The advent of Video Diffusion Transformers (Video DiTs) marks a milestone in video generation. However, directly applying existing video editing methods to Video DiTs often incurs…
One-shot Face Sketch Synthesis in the Wild via Generative Diffusion Prior and Instruction Tuning
Han Wu, Junyao Li, Kangbo Zhao +3
Face sketch synthesis is a technique aimed at converting face photos into sketches. Existing face sketch synthesis research mainly relies on training with numerous photo-sketch sam…
Wan: Open and Advanced Large-Scale Video Generative Models
Team Wan, Ang Wang, Baole Ai +58
This report presents Wan, a comprehensive and open suite of video foundation models designed to push the boundaries of video generation. Built upon the mainstream diffusion transfo…
EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation
Xiaofeng Wang, Kang Zhao, Feng Liu +6
Video generation has emerged as a promising tool for world simulation, leveraging visual data to replicate real-world environments. Within this context, egocentric video generation…
FreeMask: Rethinking the Importance of Attention Masks for Zero-Shot Video Editing
Lingling Cai, Kang Zhao, Hangjie Yuan +3
Text-to-video diffusion models have made remarkable advancements. Driven by their ability to generate temporally coherent videos, research on zero-shot video editing using these fu…
S^3D-NeRF: Single-Shot Speech-Driven Neural Radiance Field for High Fidelity Talking Head Synthesis
Dongze Li, Kang Zhao, Wei Wang +4
Talking head synthesis is a practical technique with wide applications. Current Neural Radiance Field (NeRF) based approaches have shown their superiority on driving one-shot talki…
AE-NeRF: Audio Enhanced Neural Radiance Field for Few Shot Talking Head Synthesis
Dongze Li, Kang Zhao, Wei Wang +4
Audio-driven talking head synthesis is a promising topic with wide applications in digital human, film making and virtual reality. Recent NeRF-based approaches have shown superiori…
I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models
Shiwei Zhang, Jiayu Wang, Yingya Zhang +6
Video synthesis has recently made remarkable strides benefiting from the rapid development of diffusion models. However, it still encounters challenges in terms of semantic accurac…
DeltaSpace: A Semantic-aligned Feature Space for Flexible Text-guided Image Editing
Yueming Lyu, Kang Zhao, Bo Peng +5
Text-guided image editing faces significant challenges when considering training and inference flexibility. Much literature collects large amounts of annotated image-text pairs to…
Freestyle 3D-Aware Portrait Synthesis Based on Compositional Generative Priors
Tianxiang Ma, Kang Zhao, Jianxin Sun +2
Efficiently generating a freestyle 3D portrait with high quality and 3D-consistency is a promising yet challenging task. The portrait styles generated by most existing methods are…
RiDDLE: Reversible and Diversified De-identification with Latent Encryptor
Dongze Li, Wei Wang, Kang Zhao +2
This work presents RiDDLE, short for Reversible and Diversified De-identification with Latent Encryptor, to protect the identity information of people from being misused. Built upo…