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Animate Anyone 2: High-Fidelity Character Image Animation
Animate Anyone 2: High-Fidelity Character Image Animation with Environment Affordance
Beyond extracting motion signals from source video, we additionally capture environmental representations as conditional inputs. We propose a shape-agnostic mask strategy that more effectively characterizes the relationship between character and environment. We also introduce a pose modulation strategy that enables the model to handle more diverse motion patterns.
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