39 citations · 39 across the 7 of their papers we have counts for
10 papers
FrameFold: Response-Guided KV Cache Consolidation for Autoregressive Long Video Generation
Muyu Liu, Mingming Liu, Hong Gu +2
In autoregressive video generation, retaining all historical key-value (KV) states increases memory usage and per-step attention costs as videos grow longer. A fixed cache budget b…
When Latents Forget Pixels: Restoring Fidelity in Diffusion Transformer Super-Resolution
Yu Shi, Yuyao Zhang, Yu-wing Tai
Image super-resolution (SR) with large generative models has recently achieved remarkable perceptual quality, yet maintaining fidelity to the LR observation remains challenging. In…
HierEdit: Region-Aware Hierarchical Diffusion for Efficient High-Resolution Editing
Yuyao Zhang, Alexander Huang-Menders, Yu-Wing Tai
High-resolution image editing is essential for professional and creative applications, yet existing multimodal diffusion-based editors remain computationally inefficient and constr…
AtlasVid: Efficient Ultra-High-Resolution Long Video Generation via Decoupled Global-Local Modeling
Ziyang Mai, Yuyao Zhang, Yu-Wing Tai
Recent diffusion-based video generators have achieved remarkable visual fidelity and prompt controllability, yet scaling them to ultra-high-resolution (UHR) long videos remains pro…
UltraImageGen: Efficient Ultra-High-Resolution Image Generation with Hierarchical Local Attention
Yuyao Zhang, Yu-Wing Tai
Ultra-high-resolution text-to-image generation is increasingly vital for applications requiring fine-grained textures and global structural fidelity, yet state-of-the-art text-to-i…
SmartAvatar: Text- and Image-Guided Human Avatar Generation with VLM AI Agents
Alexander Huang-Menders, Xinhang Liu, Andy Xu +3
SmartAvatar is a vision-language-agent-driven framework for generating fully rigged, animation-ready 3D human avatars from a single photo or textual prompt. While diffusion-based m…
LayerCraft: Enhancing Text-to-Image Generation with CoT Reasoning and Layered Object Integration
Yuyao Zhang, Jinghao Li, Yu-Wing Tai
Text-to-image (T2I) generation has made remarkable progress, yet existing systems still lack intuitive control over spatial composition, object consistency, and multi-step editing.…
VP-LLM: Text-Driven 3D Volume Completion with Large Language Models through Patchification
Jianmeng Liu, Yichen Liu, Yuyao Zhang +3
Recent conditional 3D completion works have mainly relied on CLIP or BERT to encode textual information, which cannot support complex instruction. Meanwhile, large language models…
Semantic Gesticulator: Semantics-Aware Co-Speech Gesture Synthesis
Zeyi Zhang, Tenglong Ao, Yuyao Zhang +4
In this work, we present Semantic Gesticulator, a novel framework designed to synthesize realistic gestures accompanying speech with strong semantic correspondence. Semantically me…
Prompt2NeRF-PIL: Fast NeRF Generation via Pretrained Implicit Latent
Jianmeng Liu, Yuyao Zhang, Zeyuan Meng +2
This paper explores promptable NeRF generation (e.g., text prompt or single image prompt) for direct conditioning and fast generation of NeRF parameters for the underlying 3D scene…