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cs.CV2026
VQ-Style: Disentangling Style and Content in Motion with Residual Quantized Representations
Fatemeh Zargarbashi, Dhruv Agrawal, Jakob Buhmann +3
Human motion data is inherently rich and complex, containing both semantic content and subtle stylistic features that are challenging to model. We propose a novel method for effect…
cs.CV2024
Generalized Pose Space Embeddings for Training In-the-Wild using Anaylis-by-Synthesis
Dominik Borer, Jakob Buhmann, Martin Guay
Modern pose estimation models are trained on large, manually-labelled datasets which are costly and may not cover the full extent of human poses and appearances in the real world.…