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20242026
most citedSemantic Codebook Learning for Dynamic Recommendation Models

2 citations · 3 across the 33 of their papers we have counts for

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cs.CV2026

UniCom: Unified Multimodal Modeling via Compressed Continuous Semantic Representations

Yaqi Zhao, Wang Lin, Zijian Zhang +5

Current unified multimodal models typically rely on discrete visual tokenizers to bridge the modality gap. However, discretization inevitably discards fine-grained semantic informa…

cs.CV2026

WorldEdit: Towards Open-World Image Editing with a Knowledge-Informed Benchmark

Wang Lin, Feng Wang, Majun Zhang +7

Recent advances in image editing models have demonstrated remarkable capabilities in executing explicit instructions, such as attribute manipulation, style transfer, and pose synth…

cs.CV2025

Show and Polish: Reference-Guided Identity Preservation in Face Video Restoration

Wenkang Han, Wang Lin, Yiyun Zhou +4

Face Video Restoration (FVR) aims to recover high-quality face videos from degraded versions. Traditional methods struggle to preserve fine-grained, identity-specific features when…

cs.CV2025

Reasoning Physical Video Generation with Diffusion Timestep Tokens via Reinforcement Learning

Wang Lin, Liyu Jia, Wentao Hu +6

Despite recent progress in video generation, producing videos that adhere to physical laws remains a significant challenge. Traditional diffusion-based methods struggle to extrapol…

cs.CV2025

Towards Transformer-Based Aligned Generation with Self-Coherence Guidance

Shulei Wang, Wang Lin, Hai Huang +8

We introduce a novel, training-free approach for enhancing alignment in Transformer-based Text-Guided Diffusion Models (TGDMs). Existing TGDMs often struggle to generate semantical…

cs.CV2025

Boosting MLLM Reasoning with Text-Debiased Hint-GRPO

Qihan Huang, Weilong Dai, Jinlong Liu +6

MLLM reasoning has drawn widespread research for its excellent problem-solving capability. Current reasoning methods fall into two types: PRM, which supervises the intermediate rea…