activity
20232026
most citedRTQ: Rethinking Video-language Understanding Based on Image-text Model

14 citations · 15 across the 13 of their papers we have counts for

collaborators

15 papers

cs.CV2026

Evolving Creatives with Clicks: CTR-Driven Advertising image Editing via Attribute Disentanglement and Preference Alignment

Xu Zhang, Haohan Wang, Zheng Zhang +9

The optimization objective for e-commerce advertising creatives has shifted from aesthetic quality to online business metrics like click-through rate (CTR). Recent methods generate…

cs.CV2026

AdSpark: A Large-Scale Dataset and Benchmark for Product-Centric Advertisement Video Generation

Zhifei Yang, Zhao Jiang, Keyang Lu +6

Product-centric advertisement video generation aims to create promotional videos that preserve fine-grained product identity while presenting selling points through coherent multi-…

cs.CV2026

Design Your Ad: Personalized Advertising Image and Text Generation with Unified Autoregressive Models

Yexing Xu, Wei Feng, Shen Zhang +15

Generating realistic and user-preferred advertisements is a key challenge in e-commerce. Existing approaches utilize multiple independent models driven by click-through-rate (CTR)…

cs.CV2026

KD-CVG: A Knowledge-Driven Approach for Creative Video Generation

Linkai Liu, Wei Feng, Xi Zhao +9

Creative Generation (CG) leverages generative models to automatically produce advertising content that highlights product features, and it has been a significant focus of recent re…

cs.CV2026

InnoAds-Composer: Efficient Condition Composition for E-Commerce Poster Generation

Yuxin Qin, Ke Cao, Haowei Liu +13

E-commerce product poster generation aims to automatically synthesize a single image that effectively conveys product information by presenting a subject, text, and a designed styl…

cs.CV2026

One Size, Many Fits: Aligning Diverse Group-Wise Click Preferences in Large-Scale Advertising Image Generation

Shuo Lu, Haohan Wang, Wei Feng +14

Advertising image generation has increasingly focused on online metrics like Click-Through Rate (CTR), yet existing approaches adopt a ``one-size-fits-all" strategy that optimizes…

cs.CV2025

MoFu: Scale-Aware Modulation and Fourier Fusion for Multi-Subject Video Generation

Run Ling, Ke Cao, Jian Lu +15

Multi-subject video generation aims to synthesize videos from textual prompts and multiple reference images, ensuring that each subject preserves natural scale and visual fidelity.…

cs.CV2025

AutoPP: Towards Automated Product Poster Generation and Optimization

Jiahao Fan, Yuxin Qin, Wei Feng +10

Product posters blend striking visuals with informative text to highlight the product and capture customer attention. However, crafting appealing posters and manually optimizing th…

cs.CV2025

Uni-Layout: Integrating Human Feedback in Unified Layout Generation and Evaluation

Shuo Lu, Yanyin Chen, Wei Feng +7

Layout generation plays a crucial role in enhancing both user experience and design efficiency. However, current approaches suffer from task-specific generation capabilities and pe…

cs.LG2025

CTR-Driven Advertising Image Generation with Multimodal Large Language Models

Xingye Chen, Wei Feng, Zhenbang Du +16

In web data, advertising images are crucial for capturing user attention and improving advertising effectiveness. Most existing methods generate background for products primarily f…

cs.CV2024

Towards Reliable Advertising Image Generation Using Human Feedback

Zhenbang Du, Wei Feng, Haohan Wang +10

In the e-commerce realm, compelling advertising images are pivotal for attracting customer attention. While generative models automate image generation, they often produce substand…

cs.CV2023★ 14 cited

RTQ: Rethinking Video-language Understanding Based on Image-text Model

Xiao Wang, Yaoyu Li, Tian Gan +3

Recent advancements in video-language understanding have been established on the foundation of image-text models, resulting in promising outcomes due to the shared knowledge betwee…

cs.CV2023★ 1 cited

Generate E-commerce Product Background by Integrating Category Commonality and Personalized Style

Haohan Wang, Wei Feng, Yaoyu Li +5

The state-of-the-art methods for e-commerce product background generation suffer from the inefficiency of designing product-wise prompts when scaling up the production, as well as…

cs.CV2023

Planning and Rendering: Towards Product Poster Generation with Diffusion Models

Zhaochen Li, Fengheng Li, Wei Feng +8

Product poster generation significantly optimizes design efficiency and reduces production costs. Prevailing methods predominantly rely on image-inpainting methods to generate clea…

cs.CV2023

Relation-Aware Diffusion Model for Controllable Poster Layout Generation

Fengheng Li, An Liu, Wei Feng +8

Poster layout is a crucial aspect of poster design. Prior methods primarily focus on the correlation between visual content and graphic elements. However, a pleasant layout should…