3 citations · 7 across the 19 of their papers we have counts for
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cs.CV2025
Vid2Avatar-Pro: Authentic Avatar from Videos in the Wild via Universal Prior
Chen Guo, Junxuan Li, Yash Kant +3
We present Vid2Avatar-Pro, a method to create photorealistic and animatable 3D human avatars from monocular in-the-wild videos. Building a high-quality avatar that supports animati…
cs.CV2025
Pippo: High-Resolution Multi-View Humans from a Single Image
Yash Kant, Ethan Weber, Jin Kyu Kim +6
We present Pippo, a generative model capable of producing 1K resolution dense turnaround videos of a person from a single casually clicked photo. Pippo is a multi-view diffusion tr…
cs.CV2025
Fillerbuster: Unified Generative Scene Completion Model for Casual Captures
Ethan Weber, Norman Müller, Yash Kant +4
We present Fillerbuster, a unified model that completes unknown regions of a 3D scene with a multi-view latent diffusion transformer. Casual captures are often sparse and miss surr…