activity
20232026
collaborators

7 papers

cs.CV2026

SI-Edit: Toward Sketch-Instruction Guided Local Image Editing with Pixel-Level Precision

Weixin Ye, Wei Wang, Hongguang Zhu +1

Despite rapid advances in generative models, achieving pixel-level precision in sketch-based image editing remains a persistent challenge, particularly for fine-grained local defor…

cs.CV2025

Dual-IPO: Dual-Iterative Preference Optimization for Text-to-Video Generation

Xiaomeng Yang, Mengping Yang, Jia Gong +3

Recent advances in video generation have enabled thrilling experiences in producing realistic videos driven by scalable diffusion transformers. However, they usually fail to produc…

cs.CV2024

Multimodal Music Generation with Explicit Bridges and Retrieval Augmentation

Baisen Wang, Le Zhuo, Zhaokai Wang +7

Multimodal music generation aims to produce music from diverse input modalities, including text, videos, and images. Existing methods use a common embedding space for multimodal fu…

cs.CV2024

SPDiffusion: Semantic Protection Diffusion Models for Multi-concept Text-to-image Generation

Yang Zhang, Rui Zhang, Xuecheng Nie +6

Recent text-to-image models have achieved impressive results in generating high-quality images. However, when tasked with multi-concept generation creating images that contain mult…

cs.CV2024

The SkatingVerse Workshop & Challenge: Methods and Results

Jian Zhao, Lei Jin, Jianshu Li +16

The SkatingVerse Workshop & Challenge aims to encourage research in developing novel and accurate methods for human action understanding. The SkatingVerse dataset used for the Skat…

cs.CV2024

BlazeBVD: Make Scale-Time Equalization Great Again for Blind Video Deflickering

Xinmin Qiu, Congying Han, Zicheng Zhang +4

Developing blind video deflickering (BVD) algorithms to enhance video temporal consistency, is gaining importance amid the flourish of image processing and video generation. Howeve…

cs.CV2023

Customize your NeRF: Adaptive Source Driven 3D Scene Editing via Local-Global Iterative Training

Runze He, Shaofei Huang, Xuecheng Nie +6

In this paper, we target the adaptive source driven 3D scene editing task by proposing a CustomNeRF model that unifies a text description or a reference image as the editing prompt…