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Found 9 papers, 7 papers with code
DanceCamera3D: 3D Camera Movement Synthesis with Music and Dance
However, camera movement synthesis with music and dance remains an unsolved challenging problem due to the scarcity of paired data.
Versatile Face Animator: Driving Arbitrary 3D Facial Avatar in RGBD Space
Creating realistic 3D facial animation is crucial for various applications in the movie production and gaming industry, especially with the burgeoning demand in the metaverse.
Speech-Driven 3D Face Animation with Composite and Regional Facial Movements
This paper emphasizes the importance of considering both the composite and regional natures of facial movements in speech-driven 3D face animation.
Shuffled Autoregression For Motion Interpolation
However, motion interpolation is a more complex problem that takes isolated poses (e. g., only one start pose and one end pose) as input.
MMFace4D: A Large-Scale Multi-Modal 4D Face Dataset for Audio-Driven 3D Face Animation
Upon MMFace4D, we construct a non-autoregressive framework for audio-driven 3D face animation.
Imitating Arbitrary Talking Style for Realistic Audio-DrivenTalking Face Synthesis
Due to such huge differences between different styles, it is necessary to incorporate the talking style into audio-driven talking face synthesis framework.
ChoreoNet: Towards Music to Dance Synthesis with Choreographic Action Unit
Meanwhile, human choreographers design dance motions from music in a two-stage manner: they firstly devise multiple choreographic dance units (CAUs), each with a series of dance motions, and then arrange the CAU sequence according to the rhythm, melody and emotion of the music.
Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch Normalization
The fundamental difficulty in person re-identification (ReID) lies in learning the correspondence among individual cameras.
Ranked #16 on
Unsupervised Domain Adaptation
on Duke to Market
Direct Transfer Person Re-identification
Domain Adaptive Person Re-Identification
+2
Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction
Next, we define user's attributes as two categories: spatial attributes (e. g., social role of user) and temporal attributes (e. g., post content of user).
