Face Hallucination
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Benchmarks
Most implemented
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment
DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-Resolution
Papers
Self-Captioning Multimodal Interaction Tuning: Amplifying Exploitable Redundancies for Robust Vision Language Models
Current vision language models face hallucination and robustness issues against ambiguous or corrupted modalities. We hypothesize that these issues can be addressed by exploiting the shared information between modalities…
Face HallucinationVisual GroundingSupervision-by-Hallucination-and-Transfer: A Weakly-Supervised Approach for Robust and Precise Facial Landmark Detection
High-precision facial landmark detection (FLD) relies on high-resolution deep feature representations. However, low-resolution face images or the compression (via pooling or strided convolution) of originally high-resolu…
Facial Landmark DetectionFace HallucinationPose TransferAudio-visual video face hallucination with frequency supervision and cross modality support by speech based lip reading loss
Recently, there has been numerous breakthroughs in face hallucination tasks. However, the task remains rather challenging in videos in comparison to the images due to inherent consistency issues. The presence of extra te…
Face HallucinationGenerative Adversarial NetworkHallucinationLip ReadingEscaping Data Scarcity for High-Resolution Heterogeneous Face Hallucination
In Heterogeneous Face Recognition (HFR), the objective is to match faces across two different domains such as visible and thermal. Large domain discrepancy makes HFR a difficult problem. Recent methods attempting to fill…
Face GenerationFace HallucinationFace RecognitionFederated Learning+3GCFSR: a Generative and Controllable Face Super Resolution Method Without Facial and GAN Priors
Face image super resolution (face hallucination) usually relies on facial priors to restore realistic details and preserve identity information. Recent advances can achieve impressive results with the help of GAN prior. …
Face HallucinationHallucinationImage Super-ResolutionSuper-ResolutionIdentity-Preserving Pose-Robust Face Hallucination Through Face Subspace Prior
Over the past few decades, numerous attempts have been made to address the problem of recovering a high-resolution (HR) facial image from its corresponding low-resolution (LR) counterpart, a task commonly referred to as …
3D Face ReconstructionFace HallucinationFace ReconstructionHallucination+1