5 papers · 1 filter
DSA: Dynamic Step Allocation for Fast Autoregressive Video Generation
Thanh-Tung Le, Yunhan Zhao, Menglei Chai +5
Video diffusion transformers have achieved state-of-the-art visual quality, but their high inference cost remains a major bottleneck for real-time applications. Recent distillation…
HiDream-O1-Image: A Natively Unified Image Generative Foundation Model with Pixel-level Unified Transformer
Qi Cai, Jingwen Chen, Chengmin Gao +22
The evolution of visual generative models has long been constrained by fragmented architectures relying on disjoint text encoders and external VAEs. In this report, we present HiDr…
Wan-Animate: Unified Character Animation and Replacement with Holistic Replication
Gang Cheng, Xin Gao, Li Hu +23
We introduce Wan-Animate, a unified framework for character animation and replacement. Given a character image and a reference video, Wan-Animate can animate the character by preci…
Wan-S2V: Audio-Driven Cinematic Video Generation
Xin Gao, Li Hu, Siqi Hu +20
Current state-of-the-art (SOTA) methods for audio-driven character animation demonstrate promising performance for scenarios primarily involving speech and singing. However, they o…
Animate Anyone 2: High-Fidelity Character Image Animation with Environment Affordance
Li Hu, Guangyuan Wang, Zhen Shen +6
Recent character image animation methods based on diffusion models, such as Animate Anyone, have made significant progress in generating consistent and generalizable character anim…