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Update to the latest titles
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Fix the paper "Self-supervised Learning for 3D Human-Object Spatial Relations from Unbounded Synthesized Images"
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Add links corresponding to paper Robust One-Shot Face Video Re-enactment using Hybrid Latent Spaces of StyleGAN2 (#29)
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Add "SGAligner : 3D Scene Alignment with Scene Graphs" (#27)
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I need help adding "Examining Autoexposure for Challenging Scenes". (#26)
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Update paper "INT2: Interactive Trajectory Prediction at Intersections" (#25)
759a7b0

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Update paper "Reinforced Disentanglement for Face Swapping without Skip Connection" (#24)
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Update paper "Improving Sample Quality of Diffusion Models using Self-Attention Guidance" (#23)
ba7b897

hysts HF staff DmitryRyumin commited on

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update arxiv_id, arxiv, github, hf_paper, hf_space for Tune-A-Video (#21)
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hysts HF staff jayw commited on

Update paper "Human-Inspired Facial Sketch Synthesis with Dynamic Adaptation" (#22)
ca57391

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update NeO 360 hf dataset link (#18)
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Update the paper "MosaiQ: Quantum Generative Adversarial Networks for Image Generation on NISQ Computers" (#17)
b55ff46

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7e9270d

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Fix the paper "MixCycle: SOTMixup Semi-Supervised 3D Single Object Tracking with Cycle Consistency" (#15)
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Update paper "Efficient Adaptive Human-Object Interaction Detection with Concept-Guided Memory" (#16)
27afa04

hysts HF staff DmitryRyumin commited on

Fix the paper "ADNet: Lane Shape Prediction via Anchor Decomposition" (#14)
b46459b

hysts HF staff DmitryRyumin commited on

update arxiv, hugging face page, author claims in papers.csv for Crossloc3D (#12)
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Update paper "VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control" (#11)
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update NeO 360 arXiv, github, hugging face paper, number of authors (#9)
72d4f8d

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Update paper "Robust e-NeRF: NeRF from Sparse & Noisy Events under Non-Uniform Motion" (#8)
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Update paper "ParCNetV2: Oversized Kernel with Enhanced Attention" (#7)
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Update paper "InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion" (#6)
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Update paper "A Multidimensional Analysis of Social Biases in Vision Transformers" (#4)
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