activity
20232026
collaborators

9 papers

cs.CV2026

Seedance 2.0: Advancing Video Generation for World Complexity

Team Seedance, De Chen, Liyang Chen +168

Seedance 2.0 is a new native multi-modal audio-video generation model, officially released in China in early February 2026. Compared with its predecessors, Seedance 1.0 and 1.5 Pro…

math.OC2026

On incremental and semi-global exponential stability of gradient flows satisfying generalized Łojasiewicz inequalities

Andreas Oliveira, Arthur C. B. de Oliveira, Mario Sznaier +1

The Łojasiewicz inequality characterizes objective-value convergence along gradient flows and, in special cases, yields exponential decay of the cost. However, such results do not…

cs.CV2025

M4V: Multimodal Mamba for Efficient Text-to-Video Generation

Jiancheng Huang, Gengwei Zhang, Zequn Jie +5

Text-to-video generation has significantly enriched content creation and holds the potential to evolve into powerful world simulators. However, modeling the vast spatiotemporal spa…

cs.CV2025

FlexVAR: Flexible Visual Autoregressive Modeling without Residual Prediction

Siyu Jiao, Gengwei Zhang, Yinlong Qian +6

This work challenges the residual prediction paradigm in visual autoregressive modeling and presents FlexVAR, a new Flexible Visual AutoRegressive image generation paradigm. FlexVA…

eess.IV2024

360-Degree Video Super Resolution and Quality Enhancement Challenge: Methods and Results

Ahmed Telili, Wassim Hamidouche, Ibrahim Farhat +12

Omnidirectional (360-degree) video is rapidly gaining popularity due to advancements in immersive technologies like virtual reality (VR) and extended reality (XR). However, real-ti…

cs.CV2024

MagicTailor: Component-Controllable Personalization in Text-to-Image Diffusion Models

Donghao Zhou, Jiancheng Huang, Jinbin Bai +5

Text-to-image diffusion models can generate high-quality images but lack fine-grained control of visual concepts, limiting their creativity. Thus, we introduce component-controllab…

cs.CV2024

MRStyle: A Unified Framework for Color Style Transfer with Multi-Modality Reference

Jiancheng Huang, Yu Gao, Zequn Jie +3

In this paper, we introduce MRStyle, a comprehensive framework that enables color style transfer using multi-modality reference, including image and text. To achieve a unified styl…

cs.CV2024

SpecRef: A Fast Training-free Baseline of Specific Reference-Condition Real Image Editing

Songyan Chen, Jiancheng Huang

Text-conditional image editing based on large diffusion generative model has attracted the attention of both the industry and the research community. Most existing methods are non-…

cs.CV2023

FEC: Three Finetuning-free Methods to Enhance Consistency for Real Image Editing

Songyan Chen, Jiancheng Huang

Text-conditional image editing is a very useful task that has recently emerged with immeasurable potential. Most current real image editing methods first need to complete the recon…