10 accepted papers
Digital humans are fundamental to immersive interaction, yet creating a unified model for holistic modalities, including text, audio, motion, and visual content, remains an open challenge. In this paper, we present Archon, a fully pretrained, human-centric unified multimodal model for holistic avata
3D reconstruction of indoor and urban environments is a prominent research topic with various downstream applications. However, existing geometric priors for addressing low-texture regions in indoor and urban settings often lack global consistency. Moreover, Gaussian Splatting and implicit SDF fiel…
Neural rendering has demonstrated remarkable success in high-quality 3D neural reconstruction and novel view synthesis with dense input views and accurate poses. However, applying it to sparse, unposed views in unbounded 360* scenes remains a challenging problem. In this paper, we propose a novel ne…
We propose an outdoor scene dataset and propose a series of benchmarks based on it.Inverse rendering in urban scenes is pivotal for applications like autonomous driving and digital twins, yet it faces significant challenges due to complex illumination conditions, including multi-illumination and ind…
Humans perceive and comprehend their surroundings through information spanning multiple frequencies. In immersive scenes, people naturally scan their environment to grasp its overall structure while examining fine details of objects that capture their attention. However, current NeRF frameworks prim…
Recently we have witnessed the explosive growth of various volumetric representations in modeling animatable head avatars. However due to the diversity of frameworks there is no practical method to support high-level applications like 3D head avatar editing across different representations. In this…
Existing inverse rendering combined with neural rendering methods can only perform editable novel view synthesis on object-specific scenes, while we present intrinsic neural radiance fields, dubbed IntrinsicNeRF, which introduce intrinsic decomposition into the NeRF-based neural rendering method and…
Despite the great success in 2D editing using user-friendly tools, such as Photoshop, semantic strokes, or even text prompts, similar capabilities in 3D areas are still limited, either relying on 3D modeling skills or allowing editing within only a few categories. In this paper, we present a novel s…
3D environment mapping has been actively stud-ied recently with the development of autonomous driving and augmented reality. Although many image-based methods are proposed due to their convenience and flexibility compared to other complex sensors, few works focus on fixing the inherent scale ambigui…
"Very recently neural implicit rendering techniques have been rapidly evolved and shown great advantages in novel view synthesis and 3D scene reconstruction. However, existing neural rendering methods for editing purposes offer limited functionality, e.g., rigid transformation, or not applicable for…