SOTAVerified

Talking Head Generation

Talking head generation is the task of generating a talking face from a set of images of a person.

( Image credit: Few-Shot Adversarial Learning of Realistic Neural Talking Head Models )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–119 of 119 papers

TitleStatusHype
Synthesizing Photorealistic Virtual Humans Through Cross-modal Disentanglement—0
StyleTalker: One-shot Style-based Audio-driven Talking Head Video Generation—0
One-Shot Face Reenactment on Megapixels—0
Talking Head Generation Driven by Speech-Related Facial Action Units and Audio- Based on Multimodal Representation Fusion—0
DialogueNeRF: Towards Realistic Avatar Face-to-Face Conversation Video Generation—0
Towards Realistic Visual Dubbing with Heterogeneous Sources—0
DFA-NeRF: Personalized Talking Head Generation via Disentangled Face Attributes Neural Rendering—0
Expressive Talking Head Generation With Granular Audio-Visual Control—0
Responsive Listening Head Generation: A Benchmark Dataset and Baseline—0
Talking Head Generation with Audio and Speech Related Facial Action Units—0
Deep Person Generation: A Survey from the Perspective of Face, Pose and Cloth Synthesis—0
AnyoneNet: Synchronized Speech and Talking Head Generation for Arbitrary Person—0
3D-TalkEmo: Learning to Synthesize 3D Emotional Talking Head—0
Speaker Independent and Multilingual/Mixlingual Speech-Driven Talking Head Generation Using Phonetic Posteriorgrams—0
Neural Voice Puppetry: Audio-driven Facial ReenactmentCode0
Animating Face using Disentangled Audio Representations—0
Few-Shot Adversarial Learning of Realistic Neural Talking Head ModelsCode0
X2Face: A network for controlling face generation using images, audio, and pose codes—0
ReenactGAN: Learning to Reenact Faces via Boundary TransferCode0
Show:102550
← PrevPage 3 of 3Next →
All datasetsVoxCeleb2 - 1-shot learningVoxCeleb1 - 1-shot learningVoxCeleb1 - 32-shot learningVoxCeleb1 - 8-shot learningVoxCeleb2 - 8-shot learning100 sleep nights of 8 caregiversVoxCeleb2 - 32-shot learning

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Few-shot Adversarial ModelFID48.5—Unverified
2CainGANFID35—Unverified
3Fast Bi-layer Avatars (medium size)CSIM0.65—Unverified
4First Order Motion Model (medium size)CSIM0.64—Unverified
5Few-shot Vid-to-vid (medium size)CSIM0.6—Unverified
#ModelMetricClaimedVerifiedStatus
1X2FaceFID45.8—Unverified
2Few-shot Adversarial ModelFID43—Unverified
#ModelMetricClaimedVerifiedStatus
1X2FaceFID56.5—Unverified
2Few-shot Adversarial ModelFID29.5—Unverified
#ModelMetricClaimedVerifiedStatus
1X2FaceFID51.5—Unverified
2Few-shot Adversarial ModelFID38—Unverified
#ModelMetricClaimedVerifiedStatus
1Few-shot Adversarial ModelFID42.2—Unverified
2CainGANFID24.9—Unverified
#ModelMetricClaimedVerifiedStatus
1Ashok10%12—Unverified
#ModelMetricClaimedVerifiedStatus
1Few-shot Adversarial ModelFID30.6—Unverified