activity
20242026
most citedTexture-Preserving Diffusion Models for High-Fidelity Virtual Try-On

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV2026

TrajCFG: Token-Wise Classifier-Free Guidance via Denoising Trajectory Feedback

Jingyu Liu, Hao Jiang, Yikang Ding +6

Classifier-free guidance (CFG) typically applies a shared scale to all latent tokens, although their velocity predictions evolve differently during sampling. We introduce Trajector…

cs.CV2026

SparseCtrl-HOI: Sparse Temporal Control for Human-Object Interaction Video Generation

Shenbo Xie, Mingrui Cai, Xu Yang +2

Human-Object Interaction (HOI) video generation aims to synthesize realistic videos of humans manipulating diverse objects, serving as a promising avenue for AI-driven live streami…

cs.CV2026

A Creative Agent is Worth a 64-Token Template

Ruixiao Shi, Fu Feng, Yucheng Xie +3

Text-to-image (T2I) models have substantially improved image fidelity and prompt adherence, yet their creativity remains constrained by reliance on discrete natural language prompt…

cs.CV2025

Democratizing High-Fidelity Co-Speech Gesture Video Generation

Xu Yang, Shaoli Huang, Shenbo Xie +3

Co-speech gesture video generation aims to synthesize realistic, audio-aligned videos of speakers, complete with synchronized facial expressions and body gestures. This task presen…

cs.CV2024★ 1 cited

Texture-Preserving Diffusion Models for High-Fidelity Virtual Try-On

Xu Yang, Changxing Ding, Zhibin Hong +3

Image-based virtual try-on is an increasingly important task for online shopping. It aims to synthesize images of a specific person wearing a specified garment. Diffusion model-bas…