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20212026
most citedSequence-based deep learning antibody design for in silico antibody affinity maturation

16 citations · 36 across the 28 of their papers we have counts for

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14 papers · 1 filter

cs.CV2025

RefTon: Reference person shot assist virtual Try-on

Liuzhuozheng Li, Yue Gong, Shanyuan Liu +7

We introduce RefTon, a flux-based person-to-person virtual try-on framework that enhances garment realism through unpaired visual references. Unlike conventional approaches that re…

cs.CV2025

RzenEmbed: Towards Comprehensive Multimodal Retrieval

Weijian Jian, Yajun Zhang, Dawei Liang +4

The rapid advancement of Multimodal Large Language Models (MLLMs) has extended CLIP-based frameworks to produce powerful, universal embeddings for retrieval tasks. However, existin…

cs.CV2025

FG-CLIP 2: A Bilingual Fine-grained Vision-Language Alignment Model

Chunyu Xie, Bin Wang, Fanjing Kong +5

Fine-grained vision-language understanding requires precise alignment between visual content and linguistic descriptions, a capability that remains limited in current models, parti…

cs.CV2025

CTA-Flux: Integrating Chinese Cultural Semantics into High-Quality English Text-to-Image Communities

Yue Gong, Shanyuan Liu, Liuzhuozheng Li +7

We proposed the Chinese Text Adapter-Flux (CTA-Flux). An adaptation method fits the Chinese text inputs to Flux, a powerful text-to-image (TTI) generative model initially trained o…

cs.CV2025

NanoControl: A Lightweight Framework for Precise and Efficient Control in Diffusion Transformer

Shanyuan Liu, Jian Zhu, Junda Lu +8

Diffusion Transformers (DiTs) have demonstrated exceptional capabilities in text-to-image synthesis. However, in the domain of controllable text-to-image generation using DiTs, mos…

cs.CV2025

FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer

Jian Zhu, Shanyuan Liu, Liuzhuozheng Li +9

Makeup transfer aims to apply the makeup style from a reference face to a target face and has been increasingly adopted in practical applications. Existing GAN-based approaches typ…