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Key Takeaways about Cvpr 2026 Motionenhancer
- Project page: fwmb.github.io/stepper.
- [CVPR 2026] FlowMotion: Training-Free Flow Guidance for Video Motion Transfer
- Video presentation for "STALL: Training-free Detection of Generated Videos via Spatial-Temporal Likelihoods", presented at ...
- PAMotion: Physics-Aware Motion Generation for Full-Body Interaction with Multiple Objects. Authors:Yan Di, Yuheng Li, Yaoxing ...
- MUST: Modality-Specific Representation-Aware Transformer for Diffusion-Enhanced Survival Prediction with Missing Modality.
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OMG-Bench: A New Challenging Benchmark for Skeleton-based Online Micro Hand Gesture Recognition ( Title: Scene-Centric Unsupervised Video Panoptic Segmentation Authors: Christoph Reich*, Oliver Hahn*, Nikita Araslanov, ... How much do video diffusion models know about the 4D world? By introducing a 4D VAE, we jointly estimate geometry and ...
ProcessMaker: A Generalized Process Visualization Framework with Adaptive Sequence Steps on Diffusion Transformers.
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