haofanwang/awesome-conditional-content-generation
Update-to-data resources for conditional content generation, including human motion generation, image or video generation and editing.
This is a curated list of research papers and resources focused on generating various types of digital content conditionally. It helps researchers, computer vision engineers, and 3D artists stay updated on the latest advancements in creating human motion, images, and videos from inputs like music, text, or audio. You can find papers on generating dance from music, animating 3D avatars from text descriptions, or synthesizing gestures from speech.
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Use this if you are a researcher or practitioner in computer vision, animation, or AI, looking for state-of-the-art methods in generating dynamic content like human motion or realistic media based on specific conditions.
Not ideal if you are looking for ready-to-use software applications or code examples for basic content creation rather than academic research.
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Jul 26, 2024
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