6 citations · 6 across the 4 of their papers we have counts for
7 papers
TrajectoryMover: Generative Movement of Object Trajectories in Videos
Kiran Chhatre, Hyeonho Jeong, Yulia Gryaditskaya +3
Generative video editing has enabled several intuitive editing operations for short video clips that would previously have been difficult to achieve, especially for non-expert edit…
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…
Evaluation of Generative Models for Emotional 3D Animation Generation in VR
Kiran Chhatre, Renan Guarese, Andrii Matviienko +1
Social interactions incorporate nonverbal signals to convey emotions alongside speech, including facial expressions and body gestures. Generative models have demonstrated promising…
Emotional Speech-driven 3D Body Animation via Disentangled Latent Diffusion
Kiran Chhatre, Radek DanÄÄek, 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…
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…
Synthetically Expressive: Evaluating gesture and voice for emotion and empathy in VR and 2D scenarios
Haoyang Du, Kiran Chhatre, Christopher Peters +3
The creation of virtual humans increasingly leverages automated synthesis of speech and gestures, enabling expressive, adaptable agents that effectively engage users. However, the…