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Sculpt3d: Multi-view consistent text-to-3d generation with sparse 3d prior
Recent works on text-to-3d generation show that using only 2D diffusion supervision for 3D
generation tends to produce results with inconsistent appearances (eg faces on the back …
generation tends to produce results with inconsistent appearances (eg faces on the back …
Taps3d: Text-guided 3d textured shape generation from pseudo supervision
In this paper, we investigate an open research task of generating controllable 3D textured
shapes from the given textual descriptions. Previous works either require ground truth …
shapes from the given textual descriptions. Previous works either require ground truth …
Reacto: Reconstructing articulated objects from a single video
In this paper we address the challenge of reconstructing general articulated 3D objects from
a single video. Existing works employing dynamic neural radiance fields have advanced the …
a single video. Existing works employing dynamic neural radiance fields have advanced the …
Attrihuman-3d: Editable 3d human avatar generation with attribute decomposition and indexing
Editable 3D-aware generation which supports user-interacted editing has witnessed rapid
development recently. However existing editable 3D GANs either fail to achieve high …
development recently. However existing editable 3D GANs either fail to achieve high …
Weakly-supervised 3d pose transfer with keypoints
The main challenges of 3D pose transfer are: 1) Lack of paired training data with different
characters performing the same pose; 2) Disentangling pose and shape information from the …
characters performing the same pose; 2) Disentangling pose and shape information from the …
Moda: Modeling deformable 3d objects from casual videos
In this paper, we focus on the challenges of modeling deformable 3D objects from casual
videos. With the popularity of NeRF, many works extend it to dynamic scenes with a …
videos. With the popularity of NeRF, many works extend it to dynamic scenes with a …
Geometry-aware 3D pose transfer using transformer autoencoder
S Liu, S Gai, F Da, F Waris - Computational Visual Media, 2024 - Springer
Abstract 3D pose transfer over unorganized point clouds is a challenging generation task,
which transfers a source's pose to a target shape and keeps the target's identity. Recent …
which transfers a source's pose to a target shape and keeps the target's identity. Recent …
Magicpose4d: Crafting articulated models with appearance and motion control
With the success of 2D and 3D visual generative models, there is growing interest in
generating 4D content. Existing methods primarily rely on text prompts to produce 4D …
generating 4D content. Existing methods primarily rely on text prompts to produce 4D …
Sync4d: Video guided controllable dynamics for physics-based 4d generation
In this work, we introduce a novel approach for creating controllable dynamics in 3D-
generated Gaussians using casually captured reference videos. Our method transfers the …
generated Gaussians using casually captured reference videos. Our method transfers the …
HMR-Adapter: A Lightweight Adapter with Dual-Path Cross Augmentation for Expressive Human Mesh Recovery
Expressive Human Mesh Recovery (HMR) involves reconstructing the 3D human body,
including hands and face, from RGB images. It is difficult because humans are highly …
including hands and face, from RGB images. It is difficult because humans are highly …