The code of our ICLR2023 paper "Switch-NeRF: Learning Scene Decomposition with Mixture of Experts for Large-scale Neural Radiance Fields" has been released. Dan Xu Code: github.com/MiZhenxing/Swi… Paper: openreview.net/forum?id=PQ2zo… Project page: mizhenxing.github.io/switchnerf

#ICLR2023 Updates to TaskPrompter's codebase for joint 2D-3D multi-task understanding on Cityscapes-3D! We now predict disparity instead of depth, aligning with prevalent practices in the dataset. Please check github.com/prismformore/M…… Thank Prof Dan Xu for valuable guidance!😃

How to design generative models to help segmentation tasks?🧐Introducing SegGen, our innovative approach for generating training data for image segmentation tasks, which greatly pushes the boundaries of performance for cutting-edge segmentation models. We creatively propose a

Excited to share our new paper "ThinkDiff" on arxiv. I Think, Therefore I Diffuse: Enabling Multimodal In-Context Reasoning in Diffusion Models It can make the diffusion models take "IQ tests"! It empowers diffusion models with multimodal in-context understanding and reasoning

The image generation of GPT-4o is amazing. It highlights image generation based on multimodal in-context learning. Our paper ThinkDiff investigates this direction and shows promising results, although far less powerful than GPT-4o and Gemini. Check out our paper and post!

We propose a high-fidelity talking head generation framework that supports both single-modal and multi-modal driven signals. More details: Arxiv: arxiv.org/abs/2504.02542 Project page: harlanhong.github.io/publications/a… Github: github.com/harlanhong/ACT… HigginFace: huggingface.co/papers/2504.02…

Cool! 3D generation becomes more fantastic!