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20242026
most citedGPT-ImgEval: A Comprehensive Benchmark for Diagnosing GPT4o in Image Generation

2 citations · 7 across the 14 of their papers we have counts for

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7 papers · 1 filter

cs.CV2025

Uniworld-V2: Reinforce Image Editing with Diffusion Negative-aware Finetuning and MLLM Implicit Feedback

Zongjian Li, Zheyuan Liu, Qihui Zhang +10

Instruction-based image editing has achieved remarkable progress; however, models solely trained via supervised fine-tuning often overfit to annotated patterns, hindering their abi…

cs.CV2025

FlashI2V: Fourier-Guided Latent Shifting Prevents Conditional Image Leakage in Image-to-Video Generation

Yunyang Ge, Xinhua Cheng, Chengshu Zhao +5

In Image-to-Video (I2V) generation, a video is created using an input image as the first-frame condition. Existing I2V methods concatenate the full information of the conditional i…

cs.CV2025

UniWorld-V1: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation

Bin Lin, Zongjian Li, Xinhua Cheng +9

Although existing unified models achieve strong performance in vision-language understanding and text-to-image generation, they remain limited in addressing image perception and ma…

cs.CV2025

OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation

Shenghai Yuan, Xianyi He, Yufan Deng +5

Subject-to-Video (S2V) generation aims to create videos that faithfully incorporate reference content, providing enhanced flexibility in the production of videos. To establish the…

cs.CV2025

ImgEdit: A Unified Image Editing Dataset and Benchmark

Yang Ye, Xianyi He, Zongjian Li +5

Recent advancements in generative models have enabled high-fidelity text-to-image generation. However, open-source image-editing models still lag behind their proprietary counterpa…

cs.CV2025★ 2 cited

GPT-ImgEval: A Comprehensive Benchmark for Diagnosing GPT4o in Image Generation

Zhiyuan Yan, Junyan Ye, Weijia Li +7

The recent breakthroughs in OpenAI's GPT4o model have demonstrated surprisingly good capabilities in image generation and editing, resulting in significant excitement in the commun…

cs.CV2025

EF-VI: Enhancing End-Frame Injection for Video Inbetweening

Liuhan Chen, Xiaodong Cun, Xiaoyu Li +5

Video inbetweening aims to synthesize intermediate video sequences conditioned on the given start and end frames. Current state-of-the-art methods primarily extend large-scale pre-…