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20232026
most citedEfficient Federated Prompt Tuning for Black-box Large Pre-trained Models

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

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6 papers · 1 filter

cs.CV2026

UniTemp: Unlocking Video Generation in Any Temporal Order via Bidirectional Distillation

Lin Zhang, Sicheng Mo, Zefan Cai +6

Autoregressive video diffusion models have emerged as a promising approach for long video generation, achieving strong performance in streaming settings. However, existing methods…

cs.CV2026

Think, Act, Build: An Agentic Framework with Vision Language Models for Zero-Shot 3D Visual Grounding

Haibo Wang, Zihao Lin, Zhiyang Xu +1

3D Visual Grounding (3D-VG) aims to localize objects in 3D scenes via natural language descriptions. While recent advancements leveraging Vision-Language Models (VLMs) have explore…

cs.CV2026

MiLDEdit: Reasoning-Based Multi-Layer Design Document Editing

Zihao Lin, Wanrong Zhu, Jiuxiang Gu +8

Real-world design documents (e.g., posters) are inherently multi-layered, combining decoration, text, and images. Editing them from natural-language instructions requires fine-grai…

cs.CV2025

SuperFlow: Training Flow Matching Models with RL on the Fly

Kaijie Chen, Zhiyang Xu, Ying Shen +3

Recent progress in flow-based generative models and reinforcement learning (RL) has improved text-image alignment and visual quality. However, current RL training for flow models s…

cs.CV2025

R2I-Bench: Benchmarking Reasoning-Driven Text-to-Image Generation

Kaijie Chen, Zihao Lin, Zhiyang Xu +5

Reasoning is a fundamental capability often required in real-world text-to-image (T2I) generation, e.g., generating ``a bitten apple that has been left in the air for more than a w…

cs.CV2024

Holistic Evaluation for Interleaved Text-and-Image Generation

Minqian Liu, Zhiyang Xu, Zihao Lin +4

Interleaved text-and-image generation has been an intriguing research direction, where the models are required to generate both images and text pieces in an arbitrary order. Despit…