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[x] 2025/09/26:π₯π₯π₯ We release our VideoChat-R1.5 model at Huggingface, paper, and eval code. - [x] 2025/09/22: πππ Our VideoChat-R1.5 is accepted by NIPS2025. - [x] 2025/04/22:π₯π₯π₯ We release our VideoChat-R1-caption at Huggingface. - [x] 2025/04/14:π₯π₯π₯ We release our VideoChat-R1 andβ¦
The main features of opengvlab/videochat-r1 are: Multimodal Understanding, Reasoning Models.
Projects with overlapping indexed features include: tulerfeng/video-r1 β [π Paper] [π€ Video-R1-7B-model] [π€ Video-R1-train-data] [π€ Video-R1-7B-model] [π€ Video-R1-train-data]. osilly/vision-r1 β The official repo for "Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models". om-ai-lab/vlm-r1 β VLM-R1 is a reasoning vision-language model and embodied AI framework designed to map visual inputs and languageβ¦ liuziyu77/visual-rft β Visual-RFT: Visual Reinforcement Fine-Tuning Ziyu Liu Β· Zeyi Sun Β· Yuhang Zang Β· Xiaoyi Dong Β· Yuhang Cao Β· Haodongβ¦ qwenlm/qwen2.5 β Qwen2.5 is a suite of large language model foundation models designed for natural language generation, codeβ¦ deepseek-ai/janus β Janus is a multimodal large language model and unified framework that integrates visual understanding and imageβ¦
The official repo for "Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models".
VLM-R1 is a reasoning vision-language model and embodied AI framework designed to map visual inputs and language instructions into physical navigation waypoints and robotic actions. It functions as a multimodal policy optimizer and an open vocabulary detector capable of locating objects based on arbitrary natural language descriptions. The system distinguishes itself through the use of chain-of-thought reasoning and reinforcement learning to solve complex visual and spatial tasks. It utilizes a video semantic memory system, which employs a visual cache to maintain a history of live video for
Visual-RFT: Visual Reinforcement Fine-Tuning Ziyu Liu Β· Zeyi Sun Β· Yuhang Zang Β· Xiaoyi Dong Β· Yuhang Cao Β· Haodong Duan Β· Dahua Lin Β· Jiaqi Wang Accepted By ICCV 2025! π Paper | π€ Datasets | π€ Daily Paper πWe introduce Visual Reinforcement Fine-tuning (Visual-RFT) , the first comprehensiveβ¦
π Paper π€ Video-R1-7B-model π€ Video-R1-train-data π€ Video-R1-7B-model π€ Video-R1-train-data