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20242026
most citedFrom Principles to Applications: A Comprehensive Survey of Discrete Tokenizers in Generation, Comprehension, Recommendation, and Information Retrieval

2 citations · 3 across the 11 of their papers we have counts for

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8 papers · 1 filter

cs.CV2026

ProductWebGen: Benchmarking Multimodal Product Webpage Generation

Zhihong Liu, Siqi Kou, Zheng Li +5

Crafting a product display webpage from a source product image, along with layout and visual content instructions, holds significant practical value for domains such as marketing,…

cs.CV2026

Adaptive Video Distillation: Mitigating Oversaturation and Temporal Collapse in Few-Step Generation

Yuyang You, Yongzhi Li, Jiahui Li +3

Video generation has recently emerged as a central task in the field of generative AI. However, the substantial computational cost inherent in video synthesis makes model distillat…

cs.CV2026

Think-Then-Generate: Reasoning-Aware Text-to-Image Diffusion with LLM Encoders

Siqi Kou, Jiachun Jin, Zetong Zhou +8

Recent progress in text-to-image (T2I) diffusion models (DMs) has enabled high-quality visual synthesis from diverse textual prompts. Yet, most existing T2I DMs, even those equippe…

cs.CV2025

EEA: Exploration-Exploitation Agent for Long Video Understanding

Te Yang, Xiangyu Zhu, Bo Wang +3

Long-form video understanding requires efficient navigation of extensive visual data to pinpoint sparse yet critical information. Current approaches to longform video understanding…

cs.CV2024★ 1 cited

Text-Video Multi-Grained Integration for Video Moment Montage

Zhihui Yin, Ye Ma, Xipeng Cao +3

The proliferation of online short video platforms has driven a surge in user demand for short video editing. However, manually selecting, cropping, and assembling raw footage into…

cs.CV2024

SweetTok: Semantic-Aware Spatial-Temporal Tokenizer for Compact Video Discretization

Zhentao Tan, Ben Xue, Jian Jia +7

This paper presents the \textbf{S}emantic-a\textbf{W}ar\textbf{E} spatial-t\textbf{E}mporal \textbf{T}okenizer (SweetTok), a novel video tokenizer to overcome the limitations in cu…

cs.CV2024

Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads

Siqi Kou, Jiachun Jin, Zhihong Liu +6

We introduce Orthus, an autoregressive (AR) transformer that excels in generating images given textual prompts, answering questions based on visual inputs, and even crafting length…

cs.CV2024

D&M: Enriching E-commerce Videos with Sound Effects by Key Moment Detection and SFX Matching

Jingyu Liu, Minquan Wang, Ye Ma +5

Videos showcasing specific products are increasingly important for E-commerce. Key moments naturally exist as the first appearance of a specific product, presentation of its distin…