Abstract: Implicit Neural Representations (INRs) have demonstrated significant potential in video compression by representing videos as neural networks. However, as the number of frames increases, the ...
Abstract: This survey article focuses on the emerging connections between machine learning and data compression. While the fundamental limits of classical (lossy) data compression are well-established ...
Official code implementation for "How to Design and Train Your Implicit Neural Representation for Video Compression." We currently support NeRV, E-NeRV, HNeRV, HiNeRV, FFNeRV, DiffNeRV, DiVNeRV, with ...
Moving beyond the traditional paradigms of "Thinking with Text" (e.g., Chain-of-Thought) and "Thinking with Images", we propose "Thinking with Video"—a new paradigm that unifies visual and textual ...
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