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Janus is a multimodal large language model and unified framework that integrates visual understanding and image generation within a single neural network. It functions as both a visual understanding model for analyzing images and a text-to-image generator. The system uses a unified transformer backbone and a multimodal latent space to bridge the gap between text and visual data. This architecture employs decoupled visual encoding and cross-modal tokenization to separate the paths for discriminative understanding and generative tasks, representing images as grids of discrete codes. The projec
Yi-Hsin Hung 1 , Yueqi Duan 1 , Equal Contribution. 1 Tsinghua University NeurIPS 2025 (Spotlight)
TPAMI 2026 Ego-R1: Agentic Chain-of-Tool-Thought for Ultra-Long Egocentric Video Reasoning
Enhancing Vision-Language Model Training with Reinforcement Learning in Synthetic Worlds for Real-World Success
[π Paper Link] [π€ VerIPO-7B-v1.0]
The main features of hitsz-tmg/veripo are: Critic-Based Algorithms, Multimodal Understanding.
Projects with overlapping indexed features include: deepseek-ai/janus β Janus is a multimodal large language model and unified framework that integrates visual understanding and imageβ¦ diankun-wu/spatial-mllm β Yi-Hsin Hung 1 , Yueqi Duan 1 , * Equal Contribution. 1 Tsinghua University NeurIPS 2025 (Spotlight). egolife-ai/ego-r1 β [TPAMI 2026] Ego-R1: Agentic Chain-of-Tool-Thought for Ultra-Long Egocentric Video Reasoning. eric-ai-lab/grit β Grounded Reasoning wiht Texts and Images (GRIT) is a novel method for training Multimodal Large Language Modelsβ¦ jun297/v1 β Jiwan Chung   Junhyeok Kim   Siyeol Kim   Jaeyoung Lee   Minsoo Kim   Youngjae Yu. corl-team/vl-dac β Enhancing Vision-Language Model Training with Reinforcement Learning in Synthetic Worlds for Real-World Success.