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Autonomous synthetic data construction via VLM-guided iterative rendering — let your data build and improve itself.
[PRCV 2026] Fine-grained benchmark and evaluation framework for text-to-video generation using ST-DAG prompt decomposition, VLM-based QA, and objective/subjective scoring.
[MICCAI 2026] The official code for "Hepato-LLaVA: An Expert MLLM with Sparse Topo-Pack Attention for Hepatocellular Pathology Analysis on Whole Slide Images"
We propose FlexiGrad, a simple and parameter-free method for hierarchical fine-grained classification that regulates gradient interactions during backpropagation.
[ECCV 2026] Code release for "Recolour What Matters: Region-Aware Colour Editing via Token-Level Diffusion"
[NeurIPS 2025] Self-Supervised Selective-Guided Diffusion Model for Old-Photo Face Restoration
[AAAI 2026] The official code for "MedReasoner: Reinforcement Learning Drives Reasoning Grounding from Clinical Thought to Pixel-Level Precision"
Official PyTorch implementation of **"Implicit Diffusion Distillation with Domain Disentanglement for Domain Generalization"** (ICME 2026).
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