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Morpheus3D enhances 3D prior with high-pass image-prompt 2D prior guidance to reconstruct high-quality 3D objects while effectively suppressing view inconsistency, low-frequency color deviation, and high-frequency lacking problems.
Neural Radiance Fields can achieve photo-realistic rendering results, but the occlusion in front of the target object is a common and extreme scenario in practice that cannot be neglected. The prevailing works attempt to remove the occlusions using external 2D visual priors, which are not constrained to provide 3D-cons...
A novel Efficient Event-Enhanced NeRF (E3NeRF) framework is proposed, reconstructing a sharp NeRF by utilizing both blurry images and corresponding event streams, and makes more profound use of the internal relationship between events and images.
PaMG is introduced, a framework that leverages the local features of body part motions, achieving better performance in both global and local text-driven human motion generation and editing and validating the effectiveness of the approach.
A cross-domain egocentric video question answering benchmark designed to evaluate whether multimodal large language models can generalize beyond common daily-life scenarios, and two official Codabench tracks.
Motion quantization codebooks have been widely adopted to facilitate co-speech motion generation. However, the conventional quantization-based generation paradigm—which relies on probabilistic token sampling from limited discrete codebooks—suffers from two major limitations: crude, unreasonable motion representations a...
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