Papers with Code 아카이브
3D Face Animation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Image: Cudeiro et al
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/junshutang/3DFaceShop
공식 코드3DFaceShop: Explicitly Controllable 3D-Aware Portrait Generation
https://github.com/karlygzhu/rgan
공식 코드A Lightweight Recurrent Grouping Attention Network for Video Super-Resolution
https://github.com/kimsure/tcnet-for-vsr
공식 코드Temporal Consistency Learning of inter-frames for Video Super-Resolution
https://github.com/kiteretsu77/vcisr-official
공식 코드VCISR: Blind Single Image Super-Resolution with Video Compression Synthetic Data
https://github.com/kkakkkka/MambaTalk
공식 코드MambaTalk: Efficient Holistic Gesture Synthesis with Selective State Space Models
https://github.com/kuis-ai-tekalp-research-group/perceptual-vsr
공식 코드Spatio-Temporal Perception-Distortion Trade-off in Learned Video SR
https://github.com/kwanyun/LeGO_code
공식 코드https://github.com/labshuhanggu/lrti-vsr
공식 코드https://github.com/labshuhanggu/mia-vsr
공식 코드Video Super-Resolution Transformer with Masked Inter&Intra-Frame Attention
https://github.com/linjing7/VR-Baseline
공식 코드Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration
https://github.com/littlewhitesea/STDAN
공식 코드STDAN: Deformable Attention Network for Space-Time Video Super-Resolution
https://github.com/llmpass/RSTT
공식 코드RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution
https://github.com/lovepiano/SMFN
공식 코드A Single Frame and Multi-Frame Joint Network for 360-degree Panorama Video Super-Resolution
https://github.com/lovepiano/SMFN_For_360VSR
공식 코드A Single Frame and Multi-Frame Joint Network for 360-degree Panorama Video Super-Resolution
https://github.com/megvii-research/wacv2024-safa
공식 코드Scale-Adaptive Feature Aggregation for Efficient Space-Time Video Super-Resolution
https://github.com/microsoft/vsr-challenge
공식 코드ICME 2025 Grand Challenge on Video Super-Resolution for Video Conferencing
https://github.com/msu-video-group/erqa
공식 코드ERQA: Edge-Restoration Quality Assessment for Video Super-Resolution
https://github.com/msu-video-group/srdm
공식 코드Combining Contrastive and Supervised Learning for Video Super-Resolution Detection
https://github.com/nichenxingmeng/STDAN
공식 코드Spatio-Temporal Distortion Aware Omnidirectional Video Super-Resolution
https://github.com/nqian1/survey-on-odisr-and-odvsr
공식 코드A Systematic Investigation on Deep Learning-Based Omnidirectional Image and Video Super-Resolution
https://github.com/nvidia-cosmos/cosmos-reason1
공식 코드Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning
https://github.com/open-mmlab/mmediting
공식 코드BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment
https://github.com/picsart-ai-research/videoinr-continuous-space-time-super-resolution
공식 코드VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution
https://github.com/proteus1991/RawVSR
공식 코드Exploit Camera Raw Data for Video Super-Resolution via Hidden Markov Model Inference
https://github.com/psyai-net/EmoTalk_release
공식 코드EmoTalk: Speech-Driven Emotional Disentanglement for 3D Face Animation
https://github.com/psyai-net/SelfTalk_release
공식 코드SelfTalk: A Self-Supervised Commutative Training Diagram to Comprehend 3D Talking Faces
https://github.com/redrock303/revisiting-temporal-alignment-for-video-restoration
공식 코드https://github.com/researchmm/TTVSR
공식 코드Learning Trajectory-Aware Transformer for Video Super-Resolution
https://github.com/researchmm/ftvsr
공식 코드Learning Spatiotemporal Frequency-Transformer for Compressed Video Super-Resolution
https://github.com/researchmm/vqd-sr
공식 코드Learning Data-Driven Vector-Quantized Degradation Model for Animation Video Super-Resolution
https://github.com/rozumden/DeFMO
공식 코드https://github.com/rozumden/deblatting_python
공식 코드https://github.com/rozumden/fmo-deblurring-benchmark
공식 코드https://github.com/ryanxingql/winner-ntire22-vqe
공식 코드Progressive Training of A Two-Stage Framework for Video Restoration
https://github.com/shangwei5/st-avsr
공식 코드Arbitrary-Scale Video Super-Resolution with Structural and Textural Priors
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.