VideoAnydoor - A zero-shot video object insertion framework jointly developed by the University of Hong Kong, Alibaba DAMO Academy, and other institutions.

What is VideoAnydoor?

VideoAnydoor is a zero-shot video object insertion framework jointly developed by the University of Hong Kong, Alibaba Group's DAMO Academy, Lakeside Lab, and Huazhong University of Science and Technology. It can insert specific objects into videos with high fidelity and precise motion control. Based on a text-to-video diffusion model, VideoAnydoor injects global identity information using an ID extractor and guides overall motion with bounding box sequences. The core of the framework is the pixel deformer module. VideoAnydoor accepts a reference image with keypoints and a trajectory as input, deforms pixel details according to the trajectory, and fuses it with a diffusion U-Net to preserve details, supporting fine-grained motion control. VideoAnydoor combines training strategies for both video and still images, introducing a reweighted reconstruction loss to improve insertion quality.

VideoAnydoor's main functions

• Inserting high-fidelity video objectsInserts the specified object into the target video with high fidelity, preserving the object's fine appearance details.
• Precision motion controlIt supports users to precisely control the movement of inserted objects based on box sequences or point trajectories, achieving a natural blend with the video background.
• Multi-region editingIt supports simultaneous editing of multiple areas in a video, such as inserting multiple objects or performing different editing operations in different areas.
• Diverse application supportIt seamlessly supports a variety of downstream applications, including video virtual try-on, video face swapping, multi-region editing, etc., without the need for fine-tuning for specific tasks.

VideoAnydoor's technical principles

• Text-to-video diffusion modelBased on a text-to-video diffusion model, this method uses a combination of random noise, object masking, and masked video as input to generate video content that matches the text description.
• ID ExtractorExtract compact and distinctive ID tokens from a background-free reference image and inject them into the diffusion model. This preserves the global identity information of the object and ensures the consistency of the inserted object's identity in the video.
• Pixel deformer moduleIt accepts a reference image with arbitrary key points and the corresponding key point trajectory as input, deforms pixel details based on the trajectory, realizes precise motion control of the object, and fuses the deformation features with diffusion U-Net to improve the ability to preserve details.
• Training strategy optimizationThe training strategy combines video and still image training, enhances insertion quality based on heavy-weight reconstruction loss, and uses high-quality image data to augment video for training, thus compensating for the scarcity of high-quality video data.

VideoAnydoor's project address

• Project official website:videoanydoor.github.io
• arXiv technical paper:https://arxiv.org/pdf/2501.01427

VideoAnydoor Application Scenarios

• Film and television special effects productionIn science fiction films, virtual alien creatures or futuristic technological equipment are inserted into real-life shooting scenes, blending naturally with the environment to enhance the film's visual impact and the audience's immersion.
• Virtual try-on advertisingThe advertisements for newly launched sneakers feature virtual images of models inserted into various sports scenes, such as basketball courts and soccer fields, showcasing the comfort and performance of the sneakers under different sports conditions, attracting the attention and purchase of sports enthusiasts.
• Virtual tourism experienceThis involves creating virtual travel videos for popular island tourist destinations, inserting virtual avatars of tourists into scenes such as beaches and diving, allowing tourists to experience the beautiful scenery and relaxing atmosphere of the islands from the comfort of their homes, and stimulating their interest in traveling.
• Education and Training
• Virtual Experiments and TeachingIn chemistry experiment teaching, virtual chemical reaction processes are inserted into teaching videos to help students understand chemical principles and experimental phenomena more intuitively, thereby improving learning outcomes.
• Social media and content creation
• Personalized video creationUsers can create unique travel videos by inserting their own photos or video clips into videos of famous landmarks around the world when sharing their travel experiences on social media, increasing interactivity and fun.