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20192025
most citedDimma: Semi-supervised Low Light Image Enhancement with Adaptive Dimming

2 citations · 2 across the 8 of their papers we have counts for

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cs.CV2025

FlashLips: 100-FPS Mask-Free Latent Lip-Sync using Reconstruction Instead of Diffusion or GANs

Andreas Zinonos, Michał Stypułkowski, Antoni Bigata +3

We present FlashLips, a two-stage, mask-free lip-sync system that decouples lips control from rendering and achieves real-time performance, with our U-Net variant running at over 1…

cs.CV2025

KeySync: A Robust Approach for Leakage-free Lip Synchronization in High Resolution

Antoni Bigata, Rodrigo Mira, Stella Bounareli +4

Lip synchronization, known as the task of aligning lip movements in an existing video with new input audio, is typically framed as a simpler variant of audio-driven facial animatio…

cs.CV2025

KeyFace: Expressive Audio-Driven Facial Animation for Long Sequences via KeyFrame Interpolation

Antoni Bigata, Michał Stypułkowski, Rodrigo Mira +7

Current audio-driven facial animation methods achieve impressive results for short videos but suffer from error accumulation and identity drift when extended to longer durations. E…

cs.CV2024

AutoLoRA: AutoGuidance Meets Low-Rank Adaptation for Diffusion Models

Artur Kasymov, Marcin Sendera, Michał Stypułkowski +2

Low-rank adaptation (LoRA) is a fine-tuning technique that can be applied to conditional generative diffusion models. LoRA utilizes a small number of context examples to adapt the…

cs.CV20232 cited

Dimma: Semi-supervised Low Light Image Enhancement with Adaptive Dimming

Wojciech Kozłowski, Michał Szachniewicz, Michał Stypułkowski +1

Enhancing low-light images while maintaining natural colors is a challenging problem due to camera processing variations and limited access to photos with ground-truth lighting con…

cs.CV2023

Self-supervised adversarial masking for 3D point cloud representation learning

Michał Szachniewicz, Wojciech Kozłowski, Michał Stypułkowski +1

Self-supervised methods have been proven effective for learning deep representations of 3D point cloud data. Although recent methods in this domain often rely on random masking of…