works on

From the 1 of 8 linked papers with an AI index.

collaborators

8 papers

cs.CV2026

4DHumanDiff: Direct Text-to-4DGS Generation for Consistent 360-Degree Dynamic Humans

Renlong Wu, Haoran Chen, Yuxiang Wei +3

The paper introduces 4DHumanDiff, a diffusion-based framework that directly generates 360-degree dynamic human models as 4D Gaussian Splatting representations from text prompts, el…

cs.CV2026

Premier: Personalized Preference Modulation with Learnable User Embedding in Text-to-Image Generation

Zihao Wang, Yuxiang Wei, Xinpeng Zhou +5

Text-to-image generation has advanced rapidly, yet it still struggles to capture the nuanced user preferences. Existing approaches typically rely on multimodal large language model…

cs.CV2026

DreamLite: A Lightweight On-Device Unified Model for Image Generation and Editing

Kailai Feng, Yuxiang Wei, Bo Chen +5

Diffusion models have made significant progress in both text-to-image (T2I) generation and text-guided image editing. However, these models are typically built with billions of par…

cs.CV2026

CREval: An Automated Interpretable Evaluation for Creative Image Manipulation under Complex Instructions

Chonghuinan Wang, Zihan Chen, Yuxiang Wei +5

Instruction-based multimodal image manipulation has recently made rapid progress. However, existing evaluation methods lack a systematic and human-aligned framework for assessing m…

cs.HC2026

CoEditor++: Instruction-based Visual Editing via Cognitive Reasoning

Minheng Ni, Yutao Fan, Zhengyuan Yang +6

Recent advances in large multimodal models (LMMs) have enabled instruction-based image editing, allowing users to modify visual content via natural language descriptions. However,…

cs.CV2025

EfficientMT: Efficient Temporal Adaptation for Motion Transfer in Text-to-Video Diffusion Models

Yufei Cai, Hu Han, Yuxiang Wei +2

The progress on generative models has led to significant advances on text-to-video (T2V) generation, yet the motion controllability of generated videos remains limited. Existing mo…