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MannequinChallenge: Learning the Depths of Moving People by Watching Frozen People.

, , , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 43 (12): 4229-4241 (2021)

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MannequinChallenge: Learning the Depths of Moving People by Watching Frozen People., , , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 43 (12): 4229-4241 (2021)Neural Congealing: Aligning Images to a Joint Semantic Atlas., , , and . CVPR, page 19403-19412. IEEE, (2023)Associating Objects and Their Effects in Video through Coordination Games., , , , , , and . NeurIPS, (2022)Space-Time Diffusion Features for Zero-Shot Text-Driven Motion Transfer., , , , and . CoRR, (2023)Still-Moving: Customized Video Generation without Customized Video Data., , , , , , , , , and . CoRR, (2024)DINO-Tracker: Taming DINO for Self-Supervised Point Tracking in a Single Video., , , and . CoRR, (2024)Space-Time Diffusion Features for Zero-Shot Text-Driven Motion Transfer., , , , and . CVPR, page 8466-8476. IEEE, (2024)Omnimatte: Associating Objects and Their Effects in Video., , , , , and . CVPR, page 4507-4515. Computer Vision Foundation / IEEE, (2021)Splicing ViT Features for Semantic Appearance Transfer., , , and . CVPR, page 10738-10747. IEEE, (2022)SinGAN: Learning a Generative Model From a Single Natural Image., , and . ICCV, page 4569-4579. IEEE, (2019)