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20222026
most citedEmotional Speech-Driven Animation with Content-Emotion Disentanglement

82 citations · 90 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

TrajectoryMover: Generative Movement of Object Trajectories in Videos

Kiran Chhatre, Hyeonho Jeong, Yulia Gryaditskaya +3

Generative video editing has enabled creative control over an object's position in a video by prescribing an object's 3D or 2D motion trajectory, while preserving both video plausi…

cs.CV2025

Towards Reliable Human Evaluations in Gesture Generation: Insights from a Community-Driven State-of-the-Art Benchmark

Rajmund Nagy, Hendric Voss, Thanh Hoang-Minh +18

We review human evaluation practices in automatic, speech-driven 3D gesture generation and find a lack of standardisation and frequent use of flawed experimental setups. This leads…

cs.CV2025

Learning 3D Texture-Aware Representations for Parsing Diverse Human Clothing and Body Parts

Kiran Chhatre, Christopher Peters, Srikrishna Karanam

Existing methods for human parsing into body parts and clothing often use fixed mask categories with broad labels that obscure fine-grained clothing types. Recent open-vocabulary s…

cs.CV2023

Emotional Speech-driven 3D Body Animation via Disentangled Latent Diffusion

Kiran Chhatre, Radek Daněček, Nikos Athanasiou +4

Existing methods for synthesizing 3D human gestures from speech have shown promising results, but they do not explicitly model the impact of emotions on the generated gestures. Ins…

cs.CV2023★ 82 cited

Emotional Speech-Driven Animation with Content-Emotion Disentanglement

Radek Daněček, Kiran Chhatre, Shashank Tripathi +3

To be widely adopted, 3D facial avatars must be animated easily, realistically, and directly from speech signals. While the best recent methods generate 3D animations that are sync…