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20242026
most citedSeedream 4.0: Toward Next-generation Multimodal Image Generation

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

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6 papers · 1 filter

cs.CV2026

InstructVVT: Instruction-Driven Video Virtual Try-On without Auxiliary Spatial Priors

Dingbao Shao, Song Wu, Xinyu Chen +18

Video virtual try-on is a highly constrained editing task requiring the precise replacement of a target person's clothing while strictly preserving the original video's spatial str…

cs.CV2026

MetaPoint: Unlocking Precise Spatial Control in Agentic Visual Generation

Dewei Zhou, Xinyu Huang, Xun Wang +6

Generative visual models fundamentally struggle with precise spatial control. This arises from a core disconnect: models can process textual descriptions of space but cannot direct…

cs.CV2026

REC-RL: Referring expression counting via Gaussian and range-based reward optimization

Hui Liu, Yunlai Teng, Kunlong Bai +4

Referring expression counting (REC) is an intention-driven task that requires context-aware visual reasoning. While recent vision-language models incorporate language for visual un…

cs.CV2026

Tuning-free Instruction-based Video Editing Via Structural Noise Initialization and Guidance

Song Wu, Xinyu Chen, Qian Wang +3

Video editing poses a significant challenge. While a series of tuning-free methods circumvent the need for extensive data collection and model training, they often underutilize the…

cs.CV2026

GeoTikzBridge: Advancing Multimodal Code Generation for Geometric Perception and Reasoning

Jiayin Sun, Caixia Sun, Boyu Yang +7

Multimodal Large Language Models (MLLMs) have recently demonstrated remarkable perceptual and reasoning abilities. However, they struggle to perceive fine-grained geometric structu…

cs.CV2026

Revisiting Cross-Attention Mechanisms: Leveraging Beneficial Noise for Domain-Adaptive Learning

Zelin Zang, Yehui Yang, Fei Wang +2

Unsupervised Domain Adaptation (UDA) seeks to transfer knowledge from a labeled source domain to an unlabeled target domain but often suffers from severe domain and scale gaps that…