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Jing He
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@Jingheya

Jing He

@Jingheya
PhD Student @HKUST (guangzhou); Research Intern @Kling_ai.
jingheya.github.io
Joined November 2023
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  • @Jingheya
    Jing He
    @Jingheya
    Mar 14
    Thanks for sharing, @_akhaliq ! Feel free to check out our new SoTA video depth estimator.🥳🤗👏💪 Useful links ⬇️ Demo: huggingface.co/spaces/haodong… Code: github.com/EnVision-Resea… Paper: arxiv.org/abs/2603.12250 Page: dvd-project.github.io
    @_akhaliq
    AK
    @_akhaliq
    Mar 13
    DVD Deterministic Video Depth Estimation with Generative Priors paper: huggingface.co/papers/2603.12…
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  • @Jingheya
    Jing He
    @Jingheya
    Jan 26
    insane!!!
    @HavenFeng
    Haven Feng
    @HavenFeng
    Jan 23
    ✨Thinking with Blender~ Meet VIGA: a multimodal agent that autonomously codes 3D/4D blender scenes from any image, with no human, no training! @berkeley_ai #LLMs #Blender #Agent 🧵1/6
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  • @Jingheya
    Jing He
    @Jingheya
    Dec 23, 2025
    Thanks @_akhaliq for sharing our work! 🤗Our StereoPilot is an efficient feed-forward architecture that leverages pre-trained video diffusion priors to directly synthesize novel views for stereo conversion. 🥳 Page: hit-perfect.github.io/StereoPilot/
    @_akhaliq
    AK
    @_akhaliq
    Dec 20, 2025
    StereoPilot Learning Unified and Efficient Stereo Conversion via Generative Priors
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  • @Jingheya
    Jing He
    @Jingheya
    Dec 2, 2025
    Thanks @_akhaliq for sharing our work!!!🌹 Lotus-2 effectively analyzes the DiT-based rectified-flow formulation and leverages the pre-trained generative model as a deterministic world prior, achieving SoTA performance with significantly finer details.🥳
    @_akhaliq
    AK
    @_akhaliq
    Dec 2, 2025
    Lotus-2 Advancing Geometric Dense Prediction with Powerful Image Generative Model
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  • @Jingheya
    Jing He
    @Jingheya
    Oct 1, 2025
    Sharing our new panoramic depth estimation method!🥰🤗🥳 It delivers remarkable geometric fidelity and exceptional zero-shot generalization!🤩
    @_akhaliq
    AK
    @_akhaliq
    Oct 1, 2025
    DA^2 Depth Anything in Any Direction
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