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20232026
most citedEnvisioning Class Entity Reasoning by Large Language Models for Few-shot Learning

1 citations · 3 across the 10 of their papers we have counts for

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cs.CV2026

Self-OPD: On-Policy Distillation for Flow Matching Models without Teacher

Shiyi Zhang, Mushui Liu, Yunze Tong +8

On-policy distillation (OPD), which leverages a pre-trained, specialized teacher model to provide dense supervisory signals, has achieved significant success in Large Language Mode…

cs.CV2026

CollectionLoRA: Collecting 50 Effects in 1 LoRA via Multi-Teacher On-Policy Distillation

Fangtai Wu, Hailong Guo, Shijie Huang +7

Customized image editing aims to equip pre-trained diffusion models with specific visual effects using limited paired data, typically via Low-Rank Adaptation (LoRA). As the number…

cs.CV2026

MedVeriSeg: Teaching LISA-Like Medical Segmentation Models to Verify Query Validity Without Extra Training

Qinyue Tong, Xiaozhen Wang, Ziqian Lu +3

Despite recent progress in text-prompt-based medical image segmentation, existing LISA-like MLLM-based methods typically generate masks regardless of whether the target specified i…

cs.CV2025

DCoAR: Deep Concept Injection into Unified Autoregressive Models for Personalized Text-to-Image Generation

Fangtai Wu, Mushui Liu, Weijie He +2

The unified autoregressive (AR) model excels at multimodal understanding and generation. However, its full potential in the domain of customized image generation has yet to be full…

cs.CV20251 cited

DyST-XL: Dynamic Layout Planning and Content Control for Compositional Text-to-Video Generation

Weijie He, Mushui Liu, Yunlong Yu +2

Compositional text-to-video generation, which requires synthesizing dynamic scenes with multiple interacting entities and precise spatial-temporal relationships, remains a critical…

cs.CV2025

CustomVideoX: 3D Reference Attention Driven Dynamic Adaptation for Zero-Shot Customized Video Diffusion Transformers

D. She, Mushui Liu, Jingxuan Pang +9

Customized generation has achieved significant progress in image synthesis, yet personalized video generation remains challenging due to temporal inconsistencies and quality degrad…