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20232026
most citedConditional Distribution Modelling for Few-Shot Image Synthesis with Diffusion Models

3 citations · 11 across the 30 of their papers we have counts for

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Showing 2025 · cs.CVShow all

8 papers · 2 filters

cs.CV2025

A Survey of Body and Face Motion: Datasets, Performance Evaluation Metrics and Generative Techniques

Lownish Rai Sookha, Nikhil Pakhale, Mudasir Ganaie +1

Body and face motion play an integral role in communication. They convey crucial information on the participants. Advances in generative modeling and multi-modal learning have enab…

cs.CV2025

CSGaze: Context-aware Social Gaze Prediction

Surbhi Madan, Shreya Ghosh, Ramanathan Subramanian +2

A person's gaze offers valuable insights into their focus of attention, level of social engagement, and confidence. In this work, we investigate how contextual cues combined with v…

cs.CV2025

SFANet: Spatial-Frequency Attention Network for Deepfake Detection

Vrushank Ahire, Aniruddh Muley, Shivam Zample +4

Detecting manipulated media has now become a pressing issue with the recent rise of deepfakes. Most existing approaches fail to generalize across diverse datasets and generation te…

cs.CV2025

SynchroRaMa : Lip-Synchronized and Emotion-Aware Talking Face Generation via Multi-Modal Emotion Embedding

Phyo Thet Yee, Dimitrios Kollias, Sudeepta Mishra +1

Audio-driven talking face generation has received growing interest, particularly for applications requiring expressive and natural human-avatar interaction. However, most existing…

cs.CV2025

AV-Deepfake1M++: A Large-Scale Audio-Visual Deepfake Benchmark with Real-World Perturbations

Zhixi Cai, Kartik Kuckreja, Shreya Ghosh +5

The rapid surge of text-to-speech and face-voice reenactment models makes video fabrication easier and highly realistic. To encounter this problem, we require datasets that rich in…

cs.CV2025

Improving Personalized Image Generation through Social Context Feedback

Parul Gupta, Abhinav Dhall, Thanh-Toan Do

Personalized image generation, where reference images of one or more subjects are used to generate their image according to a scene description, has gathered significant interest i…

cs.CV2025

Gems: Group Emotion Profiling Through Multimodal Situational Understanding

Anubhav Kataria, Surbhi Madan, Shreya Ghosh +2

Understanding individual, group and event level emotions along with contextual information is crucial for analyzing a multi-person social situation. To achieve this, we frame emoti…

cs.CV2025

Tell me Habibi, is it Real or Fake?

Kartik Kuckreja, Parul Gupta, Injy Hamed +3

Deepfake generation methods are evolving fast, making fake media harder to detect and raising serious societal concerns. Most deepfake detection and dataset creation research focus…