>mfw Research news 06/11/2025 >SeedEdit 3.0: Fast and High-Quality Generative Image Editing https://seed.bytedance.com/tech/seededit >CIVET: Systematic Evaluation of Understanding in VLMs https://arxiv.org/abs/2506.05146 >Refer to Anything with Vision-Language Prompts https://Ref2Any.github.io >HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation https://research.nvidia.com/labs/dir/hmar >Multi-scale Image Super Resolution with a Single Auto-Regressive Model https://arxiv.org/abs/2506.04990 >APVR: Hour-Level Long Video Understanding with Adaptive Pivot Visual Information Retrieval https://arxiv.org/abs/2506.04953 >Robustness as Architecture: Designing IQA Models to Withstand Adversarial Perturbations https://arxiv.org/abs/2506.04951 >DualX-VSR: Dual Axial Spatial$\times$Temporal Transformer for Real-World Video Super-Resolution without Motion Compensation https://arxiv.org/abs/2506.04830 >Robust Few-Shot Vision-Language Model Adaptation https://hannawang09.github.io/projects/srapf >HoliSafe: Holistic Safety Benchmarking and Modeling with Safety Meta Token for Vision-Language Model https://youngwanlee.github.io/holisafe >Gen-n-Val: Agentic Image Data Generation and Validation https://arxiv.org/abs/2506.04676 >Interpretable Few-Shot Image Classification via Prototypical Concept-Guided Mixture of LoRA Experts https://arxiv.org/abs/2506.04673 >FPSAttention: Training-Aware FP8 and Sparsity Co-Design for Fast Video Diffusion https://fps.ziplab.co >Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders https://arxiv.org/abs/2506.04641 >Video World Models with Long-term Spatial Memory https://spmem.github.io >Contrastive Flow Matching https://arxiv.org/abs/2506.05350 >Perceive Anything: Recognize, Explain, Caption, and Segment Anything in Images and Videos https://Perceive-Anything.github.io

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